From a7c97b712455a3028aac6628ec16bf1e6abb39fe Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" <github-actions[bot]@users.noreply.github.com>
Date: Sun, 24 Dec 2023 00:09:10 +0000
Subject: [PATCH] Update docs build

---
 .buildinfo                                    |   2 +-
 .../auto_examples_python.zip                  | Bin 2326 -> 2326 bytes
 .../auto_examples_jupyter.zip                 | Bin 6213 -> 6213 bytes
 _images/sphx_glr_simple_arctan_fit_001.png    | Bin 26064 -> 25810 bytes
 _images/sphx_glr_simple_arctan_fit_thumb.png  | Bin 26828 -> 26803 bytes
 .../model_fitting/EELS_curve_fitting.rst.txt  |   4 +-
 .../model_fitting/plot_residual.rst.txt       |   6 +-
 .../model_fitting/sg_execution_times.rst.txt  |   8 +-
 .../model_fitting/simple_arctan_fit.rst.txt   |   8 +-
 _sources/intro.rst.txt                        |  34 +-
 _sources/sg_execution_times.rst.txt           |   8 +-
 .../model_fitting/EELS_curve_fitting.html     |  53 ++-
 .../model_fitting/plot_residual.html          |   6 +-
 .../model_fitting/sg_execution_times.html     |   8 +-
 .../model_fitting/simple_arctan_fit.html      |  10 +-
 changes.html                                  |   2 +-
 genindex.html                                 |   2 +
 index.html                                    |  36 +-
 intro.html                                    |  36 +-
 objects.inv                                   | Bin 3086 -> 3093 bytes
 reference/components.html                     |  85 ++++-
 reference/models.html                         | 163 ++++----
 reference/signals.html                        | 352 +++++++++++-------
 searchindex.js                                |   2 +-
 sg_execution_times.html                       |   8 +-
 user_guide/dielectric_function.html           |   6 +-
 user_guide/eds.html                           |  30 +-
 user_guide/eels.html                          |  12 +-
 user_guide/install.html                       |   6 +-
 user_guide/metadata_structure.html            |  16 +-
 30 files changed, 520 insertions(+), 383 deletions(-)

diff --git a/.buildinfo b/.buildinfo
index a5877cca0..b25b0a783 100644
--- a/.buildinfo
+++ b/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: c8a97b085ea68b10b5ddb7cdce40fe68
+config: 2b609d0afc009808ab2bc9e789d5bb22
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
index 63bdd45ddb458e78382bca29f52f64156796d7a4..4aaa063dfff1c39d4d38835db1e4a69651b5652a 100644
GIT binary patch
delta 64
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delta 64
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diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
index e43844b06106ed21f263940f4471e11751d02759..47ecfde89ef3d221eb0998487a181200cddf44d3 100644
GIT binary patch
delta 64
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diff --git a/_images/sphx_glr_simple_arctan_fit_001.png b/_images/sphx_glr_simple_arctan_fit_001.png
index 8952a8d4d2f910ab3a7b98381a1c6d2646dfc493..adf9fd15152550920c96a30520e8b6fe424c4b2e 100644
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diff --git a/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt b/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt
index e951e824b..236b290c4 100644
--- a/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt
+++ b/_sources/auto_examples/model_fitting/EELS_curve_fitting.rst.txt
@@ -38,7 +38,7 @@ png file.
 
  .. code-block:: none
 
-
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+
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@@ -68,7 +68,7 @@ png file.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 11.813 seconds)
+   **Total running time of the script:** (0 minutes 8.819 seconds)
 
 
 .. _sphx_glr_download_auto_examples_model_fitting_EELS_curve_fitting.py:
diff --git a/_sources/auto_examples/model_fitting/plot_residual.rst.txt b/_sources/auto_examples/model_fitting/plot_residual.rst.txt
index b22c2abf1..dc7c947c5 100644
--- a/_sources/auto_examples/model_fitting/plot_residual.rst.txt
+++ b/_sources/auto_examples/model_fitting/plot_residual.rst.txt
@@ -110,7 +110,7 @@ Fit for all navigation positions:
 
  .. code-block:: none
 
-    Exception ignored in: <function tqdm.__del__ at 0x7fd352eb2ac0>
+    Exception ignored in: <function tqdm.__del__ at 0x7f5007437e20>
     Traceback (most recent call last):
       File "/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/tqdm/std.py", line 1149, in __del__
         self.close()
@@ -118,7 +118,7 @@ Fit for all navigation positions:
         self.disp(bar_style='danger', check_delay=False)
         ^^^^^^^^^
     AttributeError: 'tqdm_notebook' object has no attribute 'disp'
-
      0%|          | 0/10 [00:00<?, ?it/s]
    100%|██████████| 10/10 [00:00<00:00, 1447.86it/s]
+
      0%|          | 0/10 [00:00<?, ?it/s]
    100%|██████████| 10/10 [00:00<00:00, 1445.61it/s]
 
 
 
@@ -164,7 +164,7 @@ sphinx_gallery_thumbnail_number = 2
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.566 seconds)
+   **Total running time of the script:** (0 minutes 0.534 seconds)
 
 
 .. _sphx_glr_download_auto_examples_model_fitting_plot_residual.py:
diff --git a/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt b/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt
index d57888d8a..8ce2a1a9b 100644
--- a/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt
+++ b/_sources/auto_examples/model_fitting/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:12.745** total execution time for 3 files **from auto_examples/model_fitting**:
+**00:09.715** total execution time for 3 files **from auto_examples/model_fitting**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_model_fitting_EELS_curve_fitting.py` (``EELS_curve_fitting.py``)
-     - 00:11.813
+     - 00:08.819
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_plot_residual.py` (``plot_residual.py``)
-     - 00:00.566
+     - 00:00.534
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py` (``simple_arctan_fit.py``)
-     - 00:00.366
+     - 00:00.362
      - 0.0
diff --git a/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt b/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt
index 53d565441..79087076f 100644
--- a/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt
+++ b/_sources/auto_examples/model_fitting/simple_arctan_fit.rst.txt
@@ -42,9 +42,9 @@ Fit an arctan function.
     Active: True
     Parameter Name |    Free |      Value |        Std |        Min |        Max | Linear
     ============== | ======= | ========== | ========== | ========== | ========== | ======
-                 A |    True | 0.99752682 | 0.00215244 |       None |       None |   True
-                 k |    True | 0.87765805 | 0.07006908 |       None |       None |  False
-                x0 |    True | -0.0446211 | 0.08590005 |       None |       None |  False
+                 A |    True | 0.99776581 | 0.00196676 |       None |       None |   True
+                 k |    True | 1.22255998 | 0.10646661 |       None |       None |  False
+                x0 |    True | 0.16163973 | 0.06647885 |       None |       None |  False
 
 
 
@@ -91,7 +91,7 @@ Fit an arctan function.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.366 seconds)
+   **Total running time of the script:** (0 minutes 0.362 seconds)
 
 
 .. _sphx_glr_download_auto_examples_model_fitting_simple_arctan_fit.py:
diff --git a/_sources/intro.rst.txt b/_sources/intro.rst.txt
index 2cefe5299..2ef27a63f 100644
--- a/_sources/intro.rst.txt
+++ b/_sources/intro.rst.txt
@@ -27,8 +27,8 @@ Learning resources
     :octicon:`rocket;2em;sd-text-info` Getting Started
     ^^^
 
-    New to HyperSpy or Python? The getting started guide provides an
-    introduction on basic usage of HyperSpy and how to install it.
+    New to exSpy or the HyperSpy ecosystem? The getting started guide provides an
+    introduction on basic usage of exSpy and how to install it.
 
   .. grid-item-card::
     :link: user_guide/index
@@ -37,7 +37,7 @@ Learning resources
     :octicon:`book;2em;sd-text-info` User Guide
     ^^^
 
-    The user guide provides in-depth information on key concepts of HyperSpy
+    The user guide provides in-depth information on key concepts of exSpy
     and how to use it along with background information and explanations.
 
   .. grid-item-card::
@@ -48,7 +48,7 @@ Learning resources
     ^^^
 
     Documentation of the metadata specification and of the Application Progamming Interface (API),
-    which describe how HyperSpy functions work and which parameters can be used.
+    which describe how exSpy functions work and which parameters can be used.
 
   .. grid-item-card::
     :link: auto_examples/index
@@ -57,7 +57,8 @@ Learning resources
     :octicon:`zap;2em;sd-text-info` Example
     ^^^
 
-    Short examples illustrating simple tasks.
+    Gallery of short examples illustrating simple tasks that
+    can be performed with exSpy and HyperSpy.
 
   .. grid-item-card::
     :link: https://github.com/hyperspy/exspy-demos
@@ -65,8 +66,8 @@ Learning resources
     :octicon:`workflow;2em;sd-text-info` Tutorials
     ^^^
 
-    Tutorials in form of Jupyter Notebooks to learn how to
-    process multi-dimensional data using HyperSpy.
+    Tutorials in form of Jupyter Notebooks to learn how to process
+    multi-dimensional electron/X-ray spectroscopy data using exSpy.
 
   .. grid-item-card::
     :link: contributing
@@ -75,8 +76,8 @@ Learning resources
     :octicon:`people;2em;sd-text-info` Contributing
     ^^^
 
-    HyperSpy is a community project maintained for and by its users.
-    There are many ways you can help!
+    exSpy and the whole HyperSpy ecosystem are a community project
+    maintained for and by its users. There are many ways you can help!
 
 Citing exSpy
 ============
@@ -84,20 +85,21 @@ Citing exSpy
 If exSpy has been significant to a project that leads to an academic
 publication, please acknowledge that fact by citing it. The DOI in the
 badge below is the `Concept DOI <https://help.zenodo.org/faq/#versioning>`_ of
-HyperSpy. It can be used to cite the project without referring to a specific
+exSpy. It can be used to cite the project without referring to a specific
 version. If you are citing exSpy because you have used it to process data,
 please use the DOI of the specific version that you have employed. You can
 find it by clicking on the DOI badge below.
 
-.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.592838.svg
-   :target: https://doi.org/10.5281/zenodo.592838
+.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.10252344.svg
+   :target: https://zenodo.org/doi/10.5281/zenodo.10252344
 
-HyperSpy's citation in the scientific literature
+Citation in the scientific literature
 ------------------------------------------------
 
-Given the increasing number of articles that cite HyperSpy we do not maintain a list of
-articles citing HyperSpy. For an up to date list search for
-HyperSpy in a scientific database e.g. `Google Scholar
+Given the increasing number of articles that cite HyperSpy and its extension
+packages, we do not maintain a list of
+articles citing exSpy or HyperSpy. For an up to date list search for
+exSpy/HyperSpy in a scientific database e.g. `Google Scholar
 <https://scholar.google.co.uk/scholar?q=hyperspy>`_.
 
 .. Warning::
diff --git a/_sources/sg_execution_times.rst.txt b/_sources/sg_execution_times.rst.txt
index b6275eccb..e6e16169f 100644
--- a/_sources/sg_execution_times.rst.txt
+++ b/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:12.745** total execution time for 3 files **from all galleries**:
+**00:09.715** total execution time for 3 files **from all galleries**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_auto_examples_model_fitting_EELS_curve_fitting.py` (``../examples/model_fitting/EELS_curve_fitting.py``)
-     - 00:11.813
+     - 00:08.819
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_plot_residual.py` (``../examples/model_fitting/plot_residual.py``)
-     - 00:00.566
+     - 00:00.534
      - 0.0
    * - :ref:`sphx_glr_auto_examples_model_fitting_simple_arctan_fit.py` (``../examples/model_fitting/simple_arctan_fit.py``)
-     - 00:00.366
+     - 00:00.362
      - 0.0
diff --git a/auto_examples/model_fitting/EELS_curve_fitting.html b/auto_examples/model_fitting/EELS_curve_fitting.html
index a1631b0f4..c6dc01f73 100644
--- a/auto_examples/model_fitting/EELS_curve_fitting.html
+++ b/auto_examples/model_fitting/EELS_curve_fitting.html
@@ -483,35 +483,30 @@
 <p>Performs curve fitting to an EELS spectrum, plots the result and saves it as
 png file.</p>
 <img src="../../_images/sphx_glr_EELS_curve_fitting_001.png" srcset="../../_images/sphx_glr_EELS_curve_fitting_001.png" alt="coreloss_spectrum Signal" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|                                              | 0.00/42.3M [00:00&lt;?, ?B/s]
-  0%|                                     | 11.3k/42.3M [00:00&lt;10:14, 68.8kB/s]
-  0%|                                      | 35.8k/42.3M [00:00&lt;06:03, 116kB/s]
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-  0%|                                       | 113k/42.3M [00:00&lt;03:44, 188kB/s]
-  1%|▏                                      | 225k/42.3M [00:00&lt;01:54, 366kB/s]
-  1%|▍                                      | 435k/42.3M [00:00&lt;01:02, 674kB/s]
-  2%|▊                                     | 893k/42.3M [00:01&lt;00:30, 1.36MB/s]
-  4%|█▌                                   | 1.78M/42.3M [00:01&lt;00:15, 2.63MB/s]
-  8%|███                                  | 3.56M/42.3M [00:01&lt;00:07, 5.19MB/s]
- 13%|████▉                                | 5.67M/42.3M [00:01&lt;00:04, 7.53MB/s]
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- 23%|████████▍                            | 9.63M/42.3M [00:01&lt;00:03, 9.89MB/s]
- 27%|██████████▏                          | 11.6M/42.3M [00:02&lt;00:02, 10.5MB/s]
- 32%|███████████▉                         | 13.7M/42.3M [00:02&lt;00:02, 11.1MB/s]
- 37%|█████████████▋                       | 15.6M/42.3M [00:02&lt;00:02, 11.4MB/s]
- 42%|███████████████▍                     | 17.7M/42.3M [00:02&lt;00:02, 11.7MB/s]
- 47%|█████████████████▎                   | 19.7M/42.3M [00:02&lt;00:01, 11.9MB/s]
- 51%|███████████████████                  | 21.7M/42.3M [00:02&lt;00:01, 12.0MB/s]
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- 61%|██████████████████████▋              | 25.9M/42.3M [00:03&lt;00:01, 12.2MB/s]
- 66%|████████████████████████▍            | 27.9M/42.3M [00:03&lt;00:01, 12.3MB/s]
- 71%|██████████████████████████▏          | 30.0M/42.3M [00:03&lt;00:00, 12.3MB/s]
- 76%|████████████████████████████         | 32.0M/42.3M [00:03&lt;00:00, 12.4MB/s]
- 81%|█████████████████████████████▊       | 34.1M/42.3M [00:03&lt;00:00, 12.5MB/s]
- 86%|███████████████████████████████▋     | 36.2M/42.3M [00:04&lt;00:00, 12.5MB/s]
- 91%|█████████████████████████████████▍   | 38.3M/42.3M [00:04&lt;00:00, 12.6MB/s]
- 95%|███████████████████████████████████▎ | 40.3M/42.3M [00:04&lt;00:00, 12.5MB/s]
+  0%|                                      | 12.3k/42.3M [00:00&lt;06:24, 110kB/s]
+  0%|                                      | 41.0k/42.3M [00:00&lt;03:36, 196kB/s]
+  0%|                                       | 102k/42.3M [00:00&lt;01:58, 356kB/s]
+  1%|▏                                      | 229k/42.3M [00:00&lt;01:03, 661kB/s]
+  1%|▍                                     | 467k/42.3M [00:00&lt;00:35, 1.18MB/s]
+  2%|▉                                     | 974k/42.3M [00:00&lt;00:17, 2.31MB/s]
+  5%|█▋                                   | 1.97M/42.3M [00:00&lt;00:09, 4.46MB/s]
+  9%|███▍                                 | 3.99M/42.3M [00:00&lt;00:04, 8.75MB/s]
+ 17%|██████▏                              | 7.10M/42.3M [00:01&lt;00:02, 14.7MB/s]
+ 23%|████████▌                            | 9.72M/42.3M [00:01&lt;00:01, 17.3MB/s]
+ 28%|██████████▌                          | 12.0M/42.3M [00:01&lt;00:01, 18.2MB/s]
+ 35%|████████████▊                        | 14.6M/42.3M [00:01&lt;00:01, 19.8MB/s]
+ 41%|███████████████                      | 17.3M/42.3M [00:01&lt;00:01, 20.9MB/s]
+ 47%|█████████████████▎                   | 19.8M/42.3M [00:01&lt;00:01, 21.4MB/s]
+ 53%|███████████████████▌                 | 22.4M/42.3M [00:01&lt;00:00, 21.8MB/s]
+ 59%|█████████████████████▊               | 25.0M/42.3M [00:01&lt;00:00, 22.2MB/s]
+ 65%|████████████████████████             | 27.6M/42.3M [00:01&lt;00:00, 22.5MB/s]
+ 71%|██████████████████████████▎          | 30.1M/42.3M [00:02&lt;00:00, 22.6MB/s]
+ 77%|████████████████████████████▌        | 32.7M/42.3M [00:02&lt;00:00, 22.7MB/s]
+ 83%|██████████████████████████████▉      | 35.3M/42.3M [00:02&lt;00:00, 22.7MB/s]
+ 90%|█████████████████████████████████▏   | 37.9M/42.3M [00:02&lt;00:00, 22.8MB/s]
+ 96%|███████████████████████████████████▍ | 40.5M/42.3M [00:02&lt;00:00, 23.0MB/s]
   0%|                                              | 0.00/42.3M [00:00&lt;?, ?B/s]
-100%|██████████████████████████████████████| 42.3M/42.3M [00:00&lt;00:00, 281GB/s]
+100%|██████████████████████████████████████| 42.3M/42.3M [00:00&lt;00:00, 290GB/s]
 </pre></div>
 </div>
 <div class="line-block">
@@ -533,7 +528,7 @@
 <a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D.plot" title="hyperspy.models.model1d.Model1D.plot" class="sphx-glr-backref-module-hyperspy-models-model1d sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">plot</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 11.813 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.819 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-model-fitting-eels-curve-fitting-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/037b5aa4752b41748abf69bba9d1cbe4/EELS_curve_fitting.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">EELS_curve_fitting.ipynb</span></code></a></p>
diff --git a/auto_examples/model_fitting/plot_residual.html b/auto_examples/model_fitting/plot_residual.html
index 275077fb3..7b0280f59 100644
--- a/auto_examples/model_fitting/plot_residual.html
+++ b/auto_examples/model_fitting/plot_residual.html
@@ -504,7 +504,7 @@
 <div class="highlight-Python notranslate"><div class="highlight"><pre><span></span><a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.multifit" title="hyperspy.model.BaseModel.multifit" class="sphx-glr-backref-module-hyperspy-model sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">multifit</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Exception ignored in: &lt;function tqdm.__del__ at 0x7fd352eb2ac0&gt;
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Exception ignored in: &lt;function tqdm.__del__ at 0x7f5007437e20&gt;
 Traceback (most recent call last):
   File &quot;/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/tqdm/std.py&quot;, line 1149, in __del__
     self.close()
@@ -514,7 +514,7 @@
 AttributeError: &#39;tqdm_notebook&#39; object has no attribute &#39;disp&#39;
 
   0%|          | 0/10 [00:00&lt;?, ?it/s]
-100%|██████████| 10/10 [00:00&lt;00:00, 1447.86it/s]
+100%|██████████| 10/10 [00:00&lt;00:00, 1445.61it/s]
 </pre></div>
 </div>
 <p>Plot the fitted model with residual:</p>
@@ -526,7 +526,7 @@
 <li><img src="../../_images/sphx_glr_plot_residual_002.png" srcset="../../_images/sphx_glr_plot_residual_002.png" alt="Signal" class = "sphx-glr-multi-img"/></li>
 </ul>
 <p>sphinx_gallery_thumbnail_number = 2</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.566 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.534 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-model-fitting-plot-residual-py">
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 <p><a class="reference download internal" download="" href="../../_downloads/971c2906ad663020c2e6701928a24c9a/plot_residual.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_residual.ipynb</span></code></a></p>
diff --git a/auto_examples/model_fitting/sg_execution_times.html b/auto_examples/model_fitting/sg_execution_times.html
index 3adbe7dc6..15ac7aa25 100644
--- a/auto_examples/model_fitting/sg_execution_times.html
+++ b/auto_examples/model_fitting/sg_execution_times.html
@@ -450,7 +450,7 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-auto-examples-model-fitting-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:12.745</strong> total execution time for 3 files <strong>from auto_examples/model_fitting</strong>:</p>
+<p><strong>00:09.715</strong> total execution time for 3 files <strong>from auto_examples/model_fitting</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -472,15 +472,15 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="EELS_curve_fitting.html#sphx-glr-auto-examples-model-fitting-eels-curve-fitting-py"><span class="std std-ref">EELS curve fitting</span></a> (<code class="docutils literal notranslate"><span class="pre">EELS_curve_fitting.py</span></code>)</p></td>
-<td><p>00:11.813</p></td>
+<td><p>00:08.819</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="plot_residual.html#sphx-glr-auto-examples-model-fitting-plot-residual-py"><span class="std std-ref">Plot Residual</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_residual.py</span></code>)</p></td>
-<td><p>00:00.566</p></td>
+<td><p>00:00.534</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="simple_arctan_fit.html#sphx-glr-auto-examples-model-fitting-simple-arctan-fit-py"><span class="std std-ref">Simple arctan fit</span></a> (<code class="docutils literal notranslate"><span class="pre">simple_arctan_fit.py</span></code>)</p></td>
-<td><p>00:00.366</p></td>
+<td><p>00:00.362</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/auto_examples/model_fitting/simple_arctan_fit.html b/auto_examples/model_fitting/simple_arctan_fit.html
index 472cc1fdf..72e42f492 100644
--- a/auto_examples/model_fitting/simple_arctan_fit.html
+++ b/auto_examples/model_fitting/simple_arctan_fit.html
@@ -486,9 +486,9 @@
 Active: True
 Parameter Name |    Free |      Value |        Std |        Min |        Max | Linear
 ============== | ======= | ========== | ========== | ========== | ========== | ======
-             A |    True | 0.99752682 | 0.00215244 |       None |       None |   True
-             k |    True | 0.87765805 | 0.07006908 |       None |       None |  False
-            x0 |    True | -0.0446211 | 0.08590005 |       None |       None |  False
+             A |    True | 0.99776581 | 0.00196676 |       None |       None |   True
+             k |    True | 1.22255998 | 0.10646661 |       None |       None |  False
+            x0 |    True | 0.16163973 | 0.06647885 |       None |       None |  False
 </pre></div>
 </div>
 <div class="line-block">
@@ -519,13 +519,13 @@
 <a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.fit" title="hyperspy.model.BaseModel.fit" class="sphx-glr-backref-module-hyperspy-model sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">fit</span></a><span class="p">()</span>
 
 <span class="c1"># Print the result of the fit</span>
-<a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D.print_current_values" title="hyperspy.models.model1d.Model1D.print_current_values" class="sphx-glr-backref-module-hyperspy-models-model1d sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">print_current_values</span></a><span class="p">()</span>
+<a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.print_current_values" title="hyperspy.model.BaseModel.print_current_values" class="sphx-glr-backref-module-hyperspy-model sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">print_current_values</span></a><span class="p">()</span>
 
 <span class="c1"># Plot the spectrum and the model fitting</span>
 <a href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D.plot" title="hyperspy.models.model1d.Model1D.plot" class="sphx-glr-backref-module-hyperspy-models-model1d sphx-glr-backref-type-py-method"><span class="n">m</span><span class="o">.</span><span class="n">plot</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.366 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.362 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-model-fitting-simple-arctan-fit-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/9fccdf8a75923677d25708442159bb9b/simple_arctan_fit.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">simple_arctan_fit.ipynb</span></code></a></p>
diff --git a/changes.html b/changes.html
index 47a50b496..d965862a3 100644
--- a/changes.html
+++ b/changes.html
@@ -463,7 +463,7 @@ <h3>New features<a class="headerlink" href="#new-features" title="Link to this h
 <a class="reference external" href="https://gitlab.com/gguzzina/gosh">GOSH</a> open file format. By default, a freely
 usable dataset is downloaded from <a class="reference external" href="https://zenodo.org/record/6599071">doi:10.5281/zenodo.7645765</a>
 (<a class="reference external" href="https://github.com/hyperspy/hyperspy/issues/3082">HyperSpy #3082</a>)</p></li>
-<li><p>Add functionality to fit the <a class="reference internal" href="user_guide/eels.html#eels-fine-structure"><span class="std std-ref">EELS fine structure</span></a> using components, e.g. <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Gaussian" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.model.components1D.Gaussian</span></code></a>. (<a class="reference external" href="https://github.com/hyperspy/hyperspy/issues/3206">HyperSpy #3206</a>)</p></li>
+<li><p>Add functionality to fit the <a class="reference internal" href="user_guide/eels.html#eels-fine-structure"><span class="std std-ref">EELS fine structure</span></a> using components, e.g. <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Gaussian" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.model.components1D.Gaussian</span></code></a>. (<a class="reference external" href="https://github.com/hyperspy/hyperspy/issues/3206">HyperSpy #3206</a>)</p></li>
 </ul>
 </section>
 <section id="enhancements">
diff --git a/genindex.html b/genindex.html
index cf55e843d..c4ab88498 100644
--- a/genindex.html
+++ b/genindex.html
@@ -855,6 +855,8 @@ <h2 id="S">S</h2>
       </ul></li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="reference/models.html#exspy.models.EELSModel.signal">signal (exspy.models.EELSModel property)</a>
+</li>
       <li><a href="reference/models.html#exspy.models.EELSModel.smart_fit">smart_fit() (exspy.models.EELSModel method)</a>
 </li>
       <li><a href="reference/signals.html#exspy.signals.EELSSpectrum.spikes_diagnosis">spikes_diagnosis() (exspy.signals.EELSSpectrum method)</a>
diff --git a/index.html b/index.html
index 5700ff8bc..7c3311ffc 100644
--- a/index.html
+++ b/index.html
@@ -448,8 +448,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-rocket sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M20.322.75a10.75 10.75 0 00-7.373 2.926l-1.304 1.23A23.743 23.743 0 0010.103 6.5H5.066a1.75 1.75 0 00-1.5.85l-2.71 4.514a.75.75 0 00.49 1.12l4.571.963c.039.049.082.096.129.14L8.04 15.96l1.872 1.994c.044.047.091.09.14.129l.963 4.572a.75.75 0 001.12.488l4.514-2.709a1.75 1.75 0 00.85-1.5v-5.038a23.741 23.741 0 001.596-1.542l1.228-1.304a10.75 10.75 0 002.925-7.374V2.499A1.75 1.75 0 0021.498.75h-1.177zM16 15.112c-.333.248-.672.487-1.018.718l-3.393 2.262.678 3.223 3.612-2.167a.25.25 0 00.121-.214v-3.822zm-10.092-2.7L8.17 9.017c.23-.346.47-.685.717-1.017H5.066a.25.25 0 00-.214.121l-2.167 3.612 3.223.679zm8.07-7.644a9.25 9.25 0 016.344-2.518h1.177a.25.25 0 01.25.25v1.176a9.25 9.25 0 01-2.517 6.346l-1.228 1.303a22.248 22.248 0 01-3.854 3.257l-3.288 2.192-1.743-1.858a.764.764 0 00-.034-.034l-1.859-1.744 2.193-3.29a22.248 22.248 0 013.255-3.851l1.304-1.23zM17.5 8a1.5 1.5 0 11-3 0 1.5 1.5 0 013 0zm-11 13c.9-.9.9-2.6 0-3.5-.9-.9-2.6-.9-3.5 0-1.209 1.209-1.445 3.901-1.49 4.743a.232.232 0 00.247.247c.842-.045 3.534-.281 4.743-1.49z"></path></svg> Getting Started</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">New to HyperSpy or Python? The getting started guide provides an
-introduction on basic usage of HyperSpy and how to install it.</p>
+<p class="sd-card-text">New to exSpy or the HyperSpy ecosystem? The getting started guide provides an
+introduction on basic usage of exSpy and how to install it.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="user_guide/install.html"><span class="doc"></span></a></div>
 </div>
@@ -459,7 +459,7 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-book sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M0 3.75A.75.75 0 01.75 3h7.497c1.566 0 2.945.8 3.751 2.014A4.496 4.496 0 0115.75 3h7.5a.75.75 0 01.75.75v15.063a.75.75 0 01-.755.75l-7.682-.052a3 3 0 00-2.142.878l-.89.891a.75.75 0 01-1.061 0l-.902-.901a3 3 0 00-2.121-.879H.75a.75.75 0 01-.75-.75v-15zm11.247 3.747a3 3 0 00-3-2.997H1.5V18h6.947a4.5 4.5 0 012.803.98l-.003-11.483zm1.503 11.485V7.5a3 3 0 013-3h6.75v13.558l-6.927-.047a4.5 4.5 0 00-2.823.971z"></path></svg> User Guide</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">The user guide provides in-depth information on key concepts of HyperSpy
+<p class="sd-card-text">The user guide provides in-depth information on key concepts of exSpy
 and how to use it along with background information and explanations.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="user_guide/index.html"><span class="doc"></span></a></div>
@@ -471,7 +471,7 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 </div>
 <div class="sd-card-body docutils">
 <p class="sd-card-text">Documentation of the metadata specification and of the Application Progamming Interface (API),
-which describe how HyperSpy functions work and which parameters can be used.</p>
+which describe how exSpy functions work and which parameters can be used.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="reference/index.html"><span class="doc"></span></a></div>
 </div>
@@ -481,7 +481,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-zap sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M16.168 2.924L4.51 13.061a.25.25 0 00.164.439h5.45a.75.75 0 01.692 1.041l-2.559 6.066 11.215-9.668a.25.25 0 00-.164-.439H14a.75.75 0 01-.687-1.05l2.855-6.526zm-.452-1.595a1.341 1.341 0 012.109 1.55L15.147 9h4.161c1.623 0 2.372 2.016 1.143 3.075L8.102 22.721a1.149 1.149 0 01-1.81-1.317L8.996 15H4.674c-1.619 0-2.37-2.008-1.148-3.07l12.19-10.6z"></path></svg> Example</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">Short examples illustrating simple tasks.</p>
+<p class="sd-card-text">Gallery of short examples illustrating simple tasks that
+can be performed with exSpy and HyperSpy.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="auto_examples/index.html"><span class="doc"></span></a></div>
 </div>
@@ -491,8 +492,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-workflow sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M1 3a2 2 0 012-2h6.5a2 2 0 012 2v6.5a2 2 0 01-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 012-2H21a2 2 0 012 2V21a2 2 0 01-2 2h-6.5a2 2 0 01-2-2v-2.5H8.437A2.938 2.938 0 015.5 15.562V11.5H3a2 2 0 01-2-2V3zm2-.5a.5.5 0 00-.5.5v6.5a.5.5 0 00.5.5h6.5a.5.5 0 00.5-.5V3a.5.5 0 00-.5-.5H3zM14.5 14a.5.5 0 00-.5.5V21a.5.5 0 00.5.5H21a.5.5 0 00.5-.5v-6.5a.5.5 0 00-.5-.5h-6.5z"></path></svg> Tutorials</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">Tutorials in form of Jupyter Notebooks to learn how to
-process multi-dimensional data using HyperSpy.</p>
+<p class="sd-card-text">Tutorials in form of Jupyter Notebooks to learn how to process
+multi-dimensional electron/X-ray spectroscopy data using exSpy.</p>
 </div>
 <a class="sd-stretched-link reference external" href="https://github.com/hyperspy/exspy-demos"></a></div>
 </div>
@@ -502,8 +503,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-people sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M3.5 8a5.5 5.5 0 118.596 4.547 9.005 9.005 0 015.9 8.18.75.75 0 01-1.5.045 7.5 7.5 0 00-14.993 0 .75.75 0 01-1.499-.044 9.005 9.005 0 015.9-8.181A5.494 5.494 0 013.5 8zM9 4a4 4 0 100 8 4 4 0 000-8z"></path><path d="M17.29 8c-.148 0-.292.01-.434.03a.75.75 0 11-.212-1.484 4.53 4.53 0 013.38 8.097 6.69 6.69 0 013.956 6.107.75.75 0 01-1.5 0 5.193 5.193 0 00-3.696-4.972l-.534-.16v-1.676l.41-.209A3.03 3.03 0 0017.29 8z"></path></svg> Contributing</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">HyperSpy is a community project maintained for and by its users.
-There are many ways you can help!</p>
+<p class="sd-card-text">exSpy and the whole HyperSpy ecosystem are a community project
+maintained for and by its users. There are many ways you can help!</p>
 </div>
 <a class="sd-stretched-link reference internal" href="contributing.html"><span class="doc"></span></a></div>
 </div>
@@ -515,16 +516,17 @@ <h2>Citing exSpy<a class="headerlink" href="#citing-exspy" title="Link to this h
 <p>If exSpy has been significant to a project that leads to an academic
 publication, please acknowledge that fact by citing it. The DOI in the
 badge below is the <a class="reference external" href="https://help.zenodo.org/faq/#versioning">Concept DOI</a> of
-HyperSpy. It can be used to cite the project without referring to a specific
+exSpy. It can be used to cite the project without referring to a specific
 version. If you are citing exSpy because you have used it to process data,
 please use the DOI of the specific version that you have employed. You can
 find it by clicking on the DOI badge below.</p>
-<a class="reference external image-reference" href="https://doi.org/10.5281/zenodo.592838"><img alt="https://zenodo.org/badge/doi/10.5281/zenodo.592838.svg" src="https://zenodo.org/badge/doi/10.5281/zenodo.592838.svg" /></a>
-<section id="hyperspy-s-citation-in-the-scientific-literature">
-<h3>HyperSpy’s citation in the scientific literature<a class="headerlink" href="#hyperspy-s-citation-in-the-scientific-literature" title="Link to this heading">#</a></h3>
-<p>Given the increasing number of articles that cite HyperSpy we do not maintain a list of
-articles citing HyperSpy. For an up to date list search for
-HyperSpy in a scientific database e.g. <a class="reference external" href="https://scholar.google.co.uk/scholar?q=hyperspy">Google Scholar</a>.</p>
+<a class="reference external image-reference" href="https://zenodo.org/doi/10.5281/zenodo.10252344"><img alt="https://zenodo.org/badge/doi/10.5281/zenodo.10252344.svg" src="https://zenodo.org/badge/doi/10.5281/zenodo.10252344.svg" /></a>
+<section id="citation-in-the-scientific-literature">
+<h3>Citation in the scientific literature<a class="headerlink" href="#citation-in-the-scientific-literature" title="Link to this heading">#</a></h3>
+<p>Given the increasing number of articles that cite HyperSpy and its extension
+packages, we do not maintain a list of
+articles citing exSpy or HyperSpy. For an up to date list search for
+exSpy/HyperSpy in a scientific database e.g. <a class="reference external" href="https://scholar.google.co.uk/scholar?q=hyperspy">Google Scholar</a>.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>Articles published before 2012 may mention the HyperSpy project under
@@ -583,7 +585,7 @@ <h2>License<a class="headerlink" href="#license" title="Link to this heading">#<
     <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-resources">Learning resources</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-exspy">Citing exSpy</a><ul class="visible nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#hyperspy-s-citation-in-the-scientific-literature">HyperSpy’s citation in the scientific literature</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#citation-in-the-scientific-literature">Citation in the scientific literature</a></li>
 </ul>
 </li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#license">License</a></li>
diff --git a/intro.html b/intro.html
index f94f9ad34..1f5050895 100644
--- a/intro.html
+++ b/intro.html
@@ -471,8 +471,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-rocket sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M20.322.75a10.75 10.75 0 00-7.373 2.926l-1.304 1.23A23.743 23.743 0 0010.103 6.5H5.066a1.75 1.75 0 00-1.5.85l-2.71 4.514a.75.75 0 00.49 1.12l4.571.963c.039.049.082.096.129.14L8.04 15.96l1.872 1.994c.044.047.091.09.14.129l.963 4.572a.75.75 0 001.12.488l4.514-2.709a1.75 1.75 0 00.85-1.5v-5.038a23.741 23.741 0 001.596-1.542l1.228-1.304a10.75 10.75 0 002.925-7.374V2.499A1.75 1.75 0 0021.498.75h-1.177zM16 15.112c-.333.248-.672.487-1.018.718l-3.393 2.262.678 3.223 3.612-2.167a.25.25 0 00.121-.214v-3.822zm-10.092-2.7L8.17 9.017c.23-.346.47-.685.717-1.017H5.066a.25.25 0 00-.214.121l-2.167 3.612 3.223.679zm8.07-7.644a9.25 9.25 0 016.344-2.518h1.177a.25.25 0 01.25.25v1.176a9.25 9.25 0 01-2.517 6.346l-1.228 1.303a22.248 22.248 0 01-3.854 3.257l-3.288 2.192-1.743-1.858a.764.764 0 00-.034-.034l-1.859-1.744 2.193-3.29a22.248 22.248 0 013.255-3.851l1.304-1.23zM17.5 8a1.5 1.5 0 11-3 0 1.5 1.5 0 013 0zm-11 13c.9-.9.9-2.6 0-3.5-.9-.9-2.6-.9-3.5 0-1.209 1.209-1.445 3.901-1.49 4.743a.232.232 0 00.247.247c.842-.045 3.534-.281 4.743-1.49z"></path></svg> Getting Started</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">New to HyperSpy or Python? The getting started guide provides an
-introduction on basic usage of HyperSpy and how to install it.</p>
+<p class="sd-card-text">New to exSpy or the HyperSpy ecosystem? The getting started guide provides an
+introduction on basic usage of exSpy and how to install it.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="user_guide/install.html"><span class="doc"></span></a></div>
 </div>
@@ -482,7 +482,7 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-book sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M0 3.75A.75.75 0 01.75 3h7.497c1.566 0 2.945.8 3.751 2.014A4.496 4.496 0 0115.75 3h7.5a.75.75 0 01.75.75v15.063a.75.75 0 01-.755.75l-7.682-.052a3 3 0 00-2.142.878l-.89.891a.75.75 0 01-1.061 0l-.902-.901a3 3 0 00-2.121-.879H.75a.75.75 0 01-.75-.75v-15zm11.247 3.747a3 3 0 00-3-2.997H1.5V18h6.947a4.5 4.5 0 012.803.98l-.003-11.483zm1.503 11.485V7.5a3 3 0 013-3h6.75v13.558l-6.927-.047a4.5 4.5 0 00-2.823.971z"></path></svg> User Guide</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">The user guide provides in-depth information on key concepts of HyperSpy
+<p class="sd-card-text">The user guide provides in-depth information on key concepts of exSpy
 and how to use it along with background information and explanations.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="user_guide/index.html"><span class="doc"></span></a></div>
@@ -494,7 +494,7 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 </div>
 <div class="sd-card-body docutils">
 <p class="sd-card-text">Documentation of the metadata specification and of the Application Progamming Interface (API),
-which describe how HyperSpy functions work and which parameters can be used.</p>
+which describe how exSpy functions work and which parameters can be used.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="reference/index.html"><span class="doc"></span></a></div>
 </div>
@@ -504,7 +504,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-zap sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M16.168 2.924L4.51 13.061a.25.25 0 00.164.439h5.45a.75.75 0 01.692 1.041l-2.559 6.066 11.215-9.668a.25.25 0 00-.164-.439H14a.75.75 0 01-.687-1.05l2.855-6.526zm-.452-1.595a1.341 1.341 0 012.109 1.55L15.147 9h4.161c1.623 0 2.372 2.016 1.143 3.075L8.102 22.721a1.149 1.149 0 01-1.81-1.317L8.996 15H4.674c-1.619 0-2.37-2.008-1.148-3.07l12.19-10.6z"></path></svg> Example</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">Short examples illustrating simple tasks.</p>
+<p class="sd-card-text">Gallery of short examples illustrating simple tasks that
+can be performed with exSpy and HyperSpy.</p>
 </div>
 <a class="sd-stretched-link reference internal" href="auto_examples/index.html"><span class="doc"></span></a></div>
 </div>
@@ -514,8 +515,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-workflow sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M1 3a2 2 0 012-2h6.5a2 2 0 012 2v6.5a2 2 0 01-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 012-2H21a2 2 0 012 2V21a2 2 0 01-2 2h-6.5a2 2 0 01-2-2v-2.5H8.437A2.938 2.938 0 015.5 15.562V11.5H3a2 2 0 01-2-2V3zm2-.5a.5.5 0 00-.5.5v6.5a.5.5 0 00.5.5h6.5a.5.5 0 00.5-.5V3a.5.5 0 00-.5-.5H3zM14.5 14a.5.5 0 00-.5.5V21a.5.5 0 00.5.5H21a.5.5 0 00.5-.5v-6.5a.5.5 0 00-.5-.5h-6.5z"></path></svg> Tutorials</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">Tutorials in form of Jupyter Notebooks to learn how to
-process multi-dimensional data using HyperSpy.</p>
+<p class="sd-card-text">Tutorials in form of Jupyter Notebooks to learn how to process
+multi-dimensional electron/X-ray spectroscopy data using exSpy.</p>
 </div>
 <a class="sd-stretched-link reference external" href="https://github.com/hyperspy/exspy-demos"></a></div>
 </div>
@@ -525,8 +526,8 @@ <h2>Learning resources<a class="headerlink" href="#learning-resources" title="Li
 <p class="sd-card-text"><svg version="1.1" width="2.0em" height="2.0em" class="sd-octicon sd-octicon-people sd-text-info" viewBox="0 0 24 24" aria-hidden="true"><path fill-rule="evenodd" d="M3.5 8a5.5 5.5 0 118.596 4.547 9.005 9.005 0 015.9 8.18.75.75 0 01-1.5.045 7.5 7.5 0 00-14.993 0 .75.75 0 01-1.499-.044 9.005 9.005 0 015.9-8.181A5.494 5.494 0 013.5 8zM9 4a4 4 0 100 8 4 4 0 000-8z"></path><path d="M17.29 8c-.148 0-.292.01-.434.03a.75.75 0 11-.212-1.484 4.53 4.53 0 013.38 8.097 6.69 6.69 0 013.956 6.107.75.75 0 01-1.5 0 5.193 5.193 0 00-3.696-4.972l-.534-.16v-1.676l.41-.209A3.03 3.03 0 0017.29 8z"></path></svg> Contributing</p>
 </div>
 <div class="sd-card-body docutils">
-<p class="sd-card-text">HyperSpy is a community project maintained for and by its users.
-There are many ways you can help!</p>
+<p class="sd-card-text">exSpy and the whole HyperSpy ecosystem are a community project
+maintained for and by its users. There are many ways you can help!</p>
 </div>
 <a class="sd-stretched-link reference internal" href="contributing.html"><span class="doc"></span></a></div>
 </div>
@@ -538,16 +539,17 @@ <h2>Citing exSpy<a class="headerlink" href="#citing-exspy" title="Link to this h
 <p>If exSpy has been significant to a project that leads to an academic
 publication, please acknowledge that fact by citing it. The DOI in the
 badge below is the <a class="reference external" href="https://help.zenodo.org/faq/#versioning">Concept DOI</a> of
-HyperSpy. It can be used to cite the project without referring to a specific
+exSpy. It can be used to cite the project without referring to a specific
 version. If you are citing exSpy because you have used it to process data,
 please use the DOI of the specific version that you have employed. You can
 find it by clicking on the DOI badge below.</p>
-<a class="reference external image-reference" href="https://doi.org/10.5281/zenodo.592838"><img alt="https://zenodo.org/badge/doi/10.5281/zenodo.592838.svg" src="https://zenodo.org/badge/doi/10.5281/zenodo.592838.svg" /></a>
-<section id="hyperspy-s-citation-in-the-scientific-literature">
-<h3>HyperSpy’s citation in the scientific literature<a class="headerlink" href="#hyperspy-s-citation-in-the-scientific-literature" title="Link to this heading">#</a></h3>
-<p>Given the increasing number of articles that cite HyperSpy we do not maintain a list of
-articles citing HyperSpy. For an up to date list search for
-HyperSpy in a scientific database e.g. <a class="reference external" href="https://scholar.google.co.uk/scholar?q=hyperspy">Google Scholar</a>.</p>
+<a class="reference external image-reference" href="https://zenodo.org/doi/10.5281/zenodo.10252344"><img alt="https://zenodo.org/badge/doi/10.5281/zenodo.10252344.svg" src="https://zenodo.org/badge/doi/10.5281/zenodo.10252344.svg" /></a>
+<section id="citation-in-the-scientific-literature">
+<h3>Citation in the scientific literature<a class="headerlink" href="#citation-in-the-scientific-literature" title="Link to this heading">#</a></h3>
+<p>Given the increasing number of articles that cite HyperSpy and its extension
+packages, we do not maintain a list of
+articles citing exSpy or HyperSpy. For an up to date list search for
+exSpy/HyperSpy in a scientific database e.g. <a class="reference external" href="https://scholar.google.co.uk/scholar?q=hyperspy">Google Scholar</a>.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
 <p>Articles published before 2012 may mention the HyperSpy project under
@@ -597,7 +599,7 @@ <h2>License<a class="headerlink" href="#license" title="Link to this heading">#<
     <ul class="visible nav section-nav flex-column">
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-resources">Learning resources</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#citing-exspy">Citing exSpy</a><ul class="visible nav section-nav flex-column">
-<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#hyperspy-s-citation-in-the-scientific-literature">HyperSpy’s citation in the scientific literature</a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#citation-in-the-scientific-literature">Citation in the scientific literature</a></li>
 </ul>
 </li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#license">License</a></li>
diff --git a/objects.inv b/objects.inv
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diff --git a/reference/components.html b/reference/components.html
index a3ea0bee5..cf39728c1 100644
--- a/reference/components.html
+++ b/reference/components.html
@@ -482,10 +482,20 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <td><p>Arctan function component for EELS (with minimum at zero).</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#exspy.components.EELSCLEdge" title="exspy.components.EELSCLEdge"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EELSCLEdge</span></code></a>(element_subshell[, GOS, ...])</p></td>
-<td><p></p></td>
+<td><p><dl class="field-list simple">
+<dt class="field-odd">param parameter_name_list<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The list of parameter names.</p>
+</dd>
+</dl>
+</p></td>
 </tr>
 <tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">PESCoreLineShape</span></code>([A, FWHM, origin, ab, shirley])</p></td>
-<td><p></p></td>
+<td><p><dl class="field-list simple">
+<dt class="field-odd">param parameter_name_list<span class="colon">:</span></dt>
+<dd class="field-odd"><p>The list of parameter names.</p>
+</dd>
+</dl>
+</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="#exspy.components.PESVoigt" title="exspy.components.PESVoigt"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PESVoigt</span></code></a>()</p></td>
 <td><p>Voigt component for photoemission spectroscopy data analysis.</p></td>
@@ -505,7 +515,7 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.DoublePowerLaw">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">DoublePowerLaw</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">A</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-05</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">r</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">origin</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">left_cutoff</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'numexpr'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compute_gradients</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.DoublePowerLaw" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
 <p>Double power law component for EELS spectra.</p>
 <div class="math notranslate nohighlight">
 \[f(x) = A \cdot [s_r \cdot (x - x_0 - x_s)^{-r} + (x - x_0)^{-r}]\]</div>
@@ -557,6 +567,14 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 </dl>
 </dd></dl>
 
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
+</ul>
+</dd>
+</dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="exspy.components.DoublePowerLaw.function_nd">
 <span class="sig-name descname"><span class="pre">function_nd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axis</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.DoublePowerLaw.function_nd" title="Link to this definition">#</a></dt>
@@ -570,7 +588,7 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.EELSArctan">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">EELSArctan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">A</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x0</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">['numpy',</span> <span class="pre">'scipy']</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.EELSArctan" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
 <p>Arctan function component for EELS (with minimum at zero).</p>
 <div class="math notranslate nohighlight">
 \[f(x) = A \cdot \left( \frac{\pi}{2} +
@@ -601,6 +619,8 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <li><p><strong>k</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Slope (steepness of the step). The larger <span class="math notranslate nohighlight">\(k\)</span>, the sharper the
 step.</p></li>
 <li><p><strong>x0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Center parameter (<span class="math notranslate nohighlight">\(f(x_0)=A\)</span>).</p></li>
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
 </ul>
 </dd>
 </dl>
@@ -609,16 +629,24 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.EELSCLEdge">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">EELSCLEdge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">element_subshell</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">GOS</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'gosh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gos_file_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.EELSCLEdge" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
+</ul>
+</dd>
+</dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="exspy.components.EELSCLEdge.as_dictionary">
 <span class="sig-name descname"><span class="pre">as_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fullcopy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.EELSCLEdge.as_dictionary" title="Link to this definition">#</a></dt>
 <dd><p>Returns component as a dictionary. For more information on method
 and conventions, see
-<code class="xref py py-meth docutils literal notranslate"><span class="pre">export_to_dictionary()</span></code></p>
+<code class="xref py py-meth docutils literal notranslate"><span class="pre">export_to_dictionary()</span></code>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>fullcopy</strong> (<em>Bool</em><em> (</em><em>optional</em><em>, </em><em>False</em><em>)</em>) – Copies of objects are stored, not references. If any found,
+<dd class="field-odd"><p><strong>fullcopy</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional False</em>) – Copies of objects are stored, not references. If any found,
 functions will be pickled and signals converted to dictionaries</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -627,9 +655,8 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <li><p>parameters: a list of dictionaries of the parameters, one per
 component.</p></li>
 <li><p>_whitelist: a dictionary with keys used as references saved
-attributes, for more information, see
-<code class="xref py py-func docutils literal notranslate"><span class="pre">export_to_dictionary()</span></code></p></li>
-<li><p>any field from _whitelist.keys()</p></li>
+attributes, for more information, see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.export_dictionary.export_to_dictionary" title="(in HyperSpy v2.0rc2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">export_to_dictionary()</span></code></a>.</p></li>
+<li><p>any field from _whitelist.keys().</p></li>
 </ul>
 </p>
 </dd>
@@ -698,7 +725,7 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <li><p><strong>display</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, display the user interface widgets. If False, return the
 widgets container in a dictionary, usually for customisation or
 testing.</p></li>
-<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><em>strings</em><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
+<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
 If string, only the widgets of the selected toolkit are displayed
 if available. If an interable of toolkit strings, the widgets of
 all listed toolkits are displayed or returned.</p></li>
@@ -728,7 +755,7 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.PESVoigt">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">PESVoigt</span></span><a class="headerlink" href="#exspy.components.PESVoigt" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a></p>
 <p>Voigt component for photoemission spectroscopy data analysis.</p>
 <p>Voigt profile component with support for shirley background,
 non_isochromaticity, transmission_function corrections and spin orbit
@@ -759,6 +786,14 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <p>Uses an approximate formula according to
 W.I.F. David, J. Appl. Cryst. (1986). 19, 63-64.
 doi:10.1107/S0021889886089999</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
+</ul>
+</dd>
+</dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="exspy.components.PESVoigt.estimate_parameters">
 <span class="sig-name descname"><span class="pre">estimate_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">signal</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">E1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">E2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">only_current</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.PESVoigt.estimate_parameters" title="Link to this definition">#</a></dt>
@@ -803,7 +838,7 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.SEE">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">SEE</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">A</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Phi</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">B</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'numexpr'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compute_gradients</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.SEE" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
 <p>Secondary electron emission component for Photoemission Spectroscopy.</p>
 <div class="math notranslate nohighlight">
 \[
@@ -838,6 +873,8 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <li><p><strong>B</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Tail or asymmetry parameter</p></li>
 <li><p><strong>**kwargs</strong> – Extra keyword arguments are passed to the
 <code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code> component.</p></li>
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
 </ul>
 </dd>
 </dl>
@@ -846,15 +883,23 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.Vignetting">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">Vignetting</span></span><a class="headerlink" href="#exspy.components.Vignetting" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a></p>
 <p>Model the vignetting of the lens with a cos^4 law multiplied by lines on
 the edges</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
+</ul>
+</dd>
+</dl>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.components.VolumePlasmonDrude">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.components.</span></span><span class="sig-name descname"><span class="pre">VolumePlasmonDrude</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">intensity</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plasmon_energy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">15.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fwhm</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'numexpr'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compute_gradients</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.components.VolumePlasmonDrude" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a></p>
 <p>Drude volume plasmon energy loss function component, the energy loss
 function is defined as:</p>
 <div class="math notranslate nohighlight">
@@ -884,7 +929,7 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <li><p><strong>plasmon_energy</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – </p></li>
 <li><p><strong>fwhm</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – </p></li>
 <li><p><strong>**kwargs</strong> – Extra keyword arguments are passed to the
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy._components.expression.Expression</span></code></a> component.</p></li>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.model/components1D.html#hyperspy.api.model.components1D.Expression" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy._components.expression.Expression</span></code></a> component.</p></li>
 </ul>
 </dd>
 </dl>
@@ -892,6 +937,14 @@ <h1><a class="reference internal" href="#module-exspy.components" title="exspy.c
 <p>Refer to Egerton, R. F., Electron Energy-Loss Spectroscopy in the
 Electron Microscope, 2nd edition, Plenum Press 1996, pp. 154-158
 for details, including original equations.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>parameter_name_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a>) – The list of parameter names.</p></li>
+<li><p><strong>linear_parameter_list</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em>, </em><em>optional</em>) – The list of linear parameter. The default is None.</p></li>
+</ul>
+</dd>
+</dl>
 </dd></dl>
 
 </section>
diff --git a/reference/models.html b/reference/models.html
index 4c27e8c23..190e62803 100644
--- a/reference/models.html
+++ b/reference/models.html
@@ -492,7 +492,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.models.EDSModel">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.models.</span></span><span class="sig-name descname"><span class="pre">EDSModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrum</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_background</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_add_lines</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.models.EDSModel" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Model1D</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Model1D</span></code></a></p>
 <p>Build and fit a model of an EDS Signal1D.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -555,7 +555,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 of freedom (dof) and chi-squared (chisq) with values.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>fullcopy</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em> (</em><em>optional</em><em>, </em><em>True</em><em>)</em>) – Copies of objects are stored, not references. If any found,
+<dd class="field-odd"><p><strong>fullcopy</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional True</em>) – Copies of objects are stored, not references. If any found,
 functions will be pickled and signals converted to dictionaries</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -565,7 +565,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 component</p></li>
 <li><p>_whitelist: a dictionary with keys used as references for saved
 attributes, for more information, see
-<code class="xref py py-func docutils literal notranslate"><span class="pre">export_to_dictionary()</span></code></p></li>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.export_dictionary.export_to_dictionary" title="(in HyperSpy v2.0rc2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">export_to_dictionary()</span></code></a></p></li>
 <li><p>any field from _whitelist.keys()</p></li>
 </ul>
 </p>
@@ -575,10 +575,10 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 </dd>
 </dl>
 <p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">signals</span><span class="o">.</span><span class="n">Signal1D</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span><span class="mi">100</span><span class="p">)))</span>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">Signal1D</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span><span class="mi">100</span><span class="p">)))</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">m</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">create_model</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">l1</span> <span class="o">=</span> <span class="n">components1d</span><span class="o">.</span><span class="n">Lorentzian</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">l2</span> <span class="o">=</span> <span class="n">components1d</span><span class="o">.</span><span class="n">Lorentzian</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l1</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Lorentzian</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l2</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Lorentzian</span><span class="p">()</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">l1</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">l2</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">m</span><span class="o">.</span><span class="n">as_dictionary</span><span class="p">()</span>
@@ -814,16 +814,13 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <p class="rubric">Examples</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">Signal1D</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="mi">1</span><span class="p">))</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">m</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">create_model</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Gaussian</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">g</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">g1</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Gaussian</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">g2</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Gaussian</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="n">g1</span><span class="p">,</span> <span class="n">g2</span><span class="p">])</span>
 </pre></div>
 </div>
-<p>You could remove <cite>g</cite> like this</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">g</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>Like this:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s2">&quot;Gaussian&quot;</span><span class="p">)</span>
+<p>You could remove <code class="docutils literal notranslate"><span class="pre">g1</span></code> like this</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">g1</span><span class="p">)</span>
 </pre></div>
 </div>
 <p>Or like this:</p>
@@ -877,7 +874,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.models.EELSModel">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.models.</span></span><span class="sig-name descname"><span class="pre">EELSModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">signal1D</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_background</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">auto_add_edges</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_loss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">GOS</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'gosh'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dictionary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.models.EELSModel" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Model1D</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/model1d.html#hyperspy.models.model1d.Model1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Model1D</span></code></a></p>
 <p>Build an EELS model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -909,7 +906,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <dd><p>Add component to Model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>thing</strong> (<cite>Component</cite> instance.) – </p>
+<dd class="field-odd"><p><strong>thing</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/component.html#hyperspy.component.Component" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Component</span></code></a>) – The component to add to the model.</p>
 </dd>
 </dl>
 </dd></dl>
@@ -1042,7 +1039,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <dt class="sig sig-object py" id="exspy.models.EELSModel.fit">
 <span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">kind</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'std'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.models.EELSModel.fit" title="Link to this definition">#</a></dt>
 <dd><p>Fits the model to the experimental data.</p>
-<p>Read more in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/model/fitting_model.html#model-fitting" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">User Guide</span></a>.</p>
+<p>Read more in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/model/fitting_model.html#model-fitting" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">User Guide</span></a>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
@@ -1050,68 +1047,62 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 performs a smart_fit - for more details see
 the <a class="reference internal" href="../user_guide/eels.html#eels-fitting"><span class="std std-ref">User Guide</span></a>.</p></li>
 <li><p><strong>optimizer</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>None</em><em>, </em><em>default None</em>) – <p>The optimization algorithm used to perform the fitting.</p>
-<blockquote>
-<div><ul>
-<li><p>”lm” performs least-squares optimization using the
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code> performs least-squares optimization using the
 Levenberg-Marquardt algorithm, and supports bounds
 on parameters.</p></li>
-<li><p>”trf” performs least-squares optimization using the
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> performs least-squares optimization using the
 Trust Region Reflective algorithm, and supports
 bounds on parameters.</p></li>
-<li><p>”dogbox” performs least-squares optimization using the
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code> performs least-squares optimization using the
 dogleg algorithm with rectangular trust regions, and
 supports bounds on parameters.</p></li>
-<li><p>”odr” performs the optimization using the orthogonal
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;odr&quot;</span></code> performs the optimization using the orthogonal
 distance regression (ODR) algorithm. It does not support
 bounds on parameters. See <code class="xref py py-mod docutils literal notranslate"><span class="pre">scipy.odr</span></code> for more details.</p></li>
 <li><p>All of the available methods for <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.minimize()</span></code>
-can be used here. See the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/model/fitting_model.html#model-fitting" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">User Guide</span></a>
+can be used here. See the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/model/fitting_model.html#model-fitting" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">User Guide</span></a>
 documentation for more details.</p></li>
-<li><p>”Differential Evolution” is a global optimization method.
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;Differential</span> <span class="pre">Evolution&quot;</span></code> is a global optimization method.
 It does support bounds on parameters. See
 <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.differential_evolution()</span></code> for more
 details on available options.</p></li>
-<li><p>”Dual Annealing” is a global optimization method.
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;Dual</span> <span class="pre">Annealing&quot;</span></code> is a global optimization method.
 It does support bounds on parameters. See
 <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.dual_annealing()</span></code> for more
 details on available options. Requires <code class="docutils literal notranslate"><span class="pre">scipy</span> <span class="pre">&gt;=</span> <span class="pre">1.2.0</span></code>.</p></li>
-<li><p>”SHGO” (simplicial homology global optimization” is a global
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;SHGO&quot;</span></code> (simplicial homology global optimization) is a global
 optimization method. It does support bounds on parameters. See
 <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.shgo()</span></code> for more details on available
 options. Requires <code class="docutils literal notranslate"><span class="pre">scipy</span> <span class="pre">&gt;=</span> <span class="pre">1.2.0</span></code>.</p></li>
 </ul>
-</div></blockquote>
 </p></li>
-<li><p><strong>loss_function</strong> (<em>{&quot;ls&quot;</em><em>, </em><em>&quot;ML-poisson&quot;</em><em>, </em><em>&quot;huber&quot;</em><em>, </em><em>callable}</em><em>, </em><em>default &quot;ls&quot;</em>) – <p>The loss function to use for minimization. Only <code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code> is available
-if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">[&quot;lm&quot;,</span> <span class="pre">&quot;trf&quot;,</span> <span class="pre">&quot;dogbox&quot;,</span> <span class="pre">&quot;odr&quot;]</span></code>.</p>
-<blockquote>
-<div><ul>
-<li><p>”ls” minimizes the least-squares loss function.</p></li>
-<li><p>”ML-poisson” minimizes the negative log-likelihood for
+<li><p><strong>loss_function</strong> ({<code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;ML-poisson&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;huber&quot;</span></code>, callable}, default <code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code>) – <p>The loss function to use for minimization. Only <code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code> is available
+if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;odr&quot;</span></code>.</p>
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code> minimizes the least-squares loss function.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;ML-poisson&quot;</span></code> minimizes the negative log-likelihood for
 Poisson-distributed data. Also known as Poisson maximum
 likelihood estimation (MLE).</p></li>
-<li><p>”huber” minimize the Huber loss function. The delta value
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;huber&quot;</span></code> minimize the Huber loss function. The delta value
 of the Huber function is controlled by the <code class="docutils literal notranslate"><span class="pre">huber_delta</span></code>
 keyword argument (the default value is 1.0).</p></li>
 <li><p>callable supports passing your own minimization function.</p></li>
 </ul>
-</div></blockquote>
 </p></li>
-<li><p><strong>grad</strong> (<em>{&quot;fd&quot;</em><em>, </em><em>&quot;analytical&quot;</em><em>, </em><em>callable</em><em>, </em><em>None}</em><em>, </em><em>default &quot;fd&quot;</em>) – <p>Whether to use information about the gradient of the loss function
+<li><p><strong>grad</strong> ({<code class="docutils literal notranslate"><span class="pre">&quot;fd&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;analytical&quot;</span></code>, callable, None}, default <code class="docutils literal notranslate"><span class="pre">&quot;fd&quot;</span></code>) – <p>Whether to use information about the gradient of the loss function
 as part of the optimization. This parameter has no effect if
 <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is a derivative-free or global optimization method.</p>
-<blockquote>
-<div><ul>
-<li><p>”fd” uses a finite difference scheme (if available) for numerical
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;fd&quot;</span></code> uses a finite difference scheme (if available) for numerical
 estimation of the gradient. The scheme can be further controlled
 with the <code class="docutils literal notranslate"><span class="pre">fd_scheme</span></code> keyword argument.</p></li>
-<li><p>”analytical” uses the analytical gradient (if available) to speed
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;analytical&quot;</span></code> uses the analytical gradient (if available) to speed
 up the optimization, since the gradient does not need to be estimated.</p></li>
 <li><p>callable should be a function that returns the gradient vector.</p></li>
 <li><p>None means that no gradient information is used or estimated. Not
-available if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is in <code class="docutils literal notranslate"><span class="pre">[&quot;lm&quot;,</span> <span class="pre">&quot;trf&quot;,</span> <span class="pre">``&quot;dogbox&quot;</span></code>].</p></li>
+available if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code>.</p></li>
 </ul>
-</div></blockquote>
 </p></li>
 <li><p><strong>bounded</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default False</em>) – If True, performs bounded parameter optimization if
 supported by <code class="docutils literal notranslate"><span class="pre">optimizer</span></code>.</p></li>
@@ -1123,10 +1114,10 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 a <code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.optimize.OptimizeResult</span></code> object.</p></li>
 <li><p><strong>return_info</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default True</em>) – If True, returns the fitting results in the form of
 a <code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.optimize.OptimizeResult</span></code> object.</p></li>
-<li><p><strong>fd_scheme</strong> (<em>str {&quot;2-point&quot;</em><em>, </em><em>&quot;3-point&quot;</em><em>, </em><em>&quot;cs&quot;}</em><em>, </em><em>default &quot;2-point&quot;</em>) – If <code class="docutils literal notranslate"><span class="pre">grad='fd'</span></code>, selects the finite difference scheme to use.
+<li><p><strong>fd_scheme</strong> (str {<code class="docutils literal notranslate"><span class="pre">&quot;2-point&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;3-point&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;cs&quot;</span></code>}, default <code class="docutils literal notranslate"><span class="pre">&quot;2-point&quot;</span></code>) – If <code class="docutils literal notranslate"><span class="pre">grad='fd'</span></code>, selects the finite difference scheme to use.
 See <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.minimize()</span></code> for details. Ignored if
-<code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code>.</p></li>
-<li><p><strong>**kwargs</strong> (<em>keyword arguments</em>) – Any extra keyword argument will be passed to the chosen
+<code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code>.</p></li>
+<li><p><strong>**kwargs</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Any extra keyword argument will be passed to the chosen
 optimizer. For more information, read the docstring of the
 optimizer of your choice in <code class="xref py py-mod docutils literal notranslate"><span class="pre">scipy.optimize</span></code>.</p></li>
 </ul>
@@ -1138,8 +1129,8 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
 <ul class="simple">
-<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.fit" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit()</span></code></a></p></li>
-<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.multifit" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">multifit()</span></code></a></p></li>
+<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.fit" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit()</span></code></a></p></li>
+<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.multifit" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">multifit()</span></code></a></p></li>
 <li><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">smart_fit()</span></code></p></li>
 </ul>
 </div>
@@ -1246,16 +1237,13 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <p class="rubric">Examples</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">Signal1D</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="mi">1</span><span class="p">))</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">m</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">create_model</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">g</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Gaussian</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">g</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>You could remove <cite>g</cite> like this</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">g</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">g1</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Gaussian</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">g2</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">components1D</span><span class="o">.</span><span class="n">Gaussian</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="n">g1</span><span class="p">,</span> <span class="n">g2</span><span class="p">])</span>
 </pre></div>
 </div>
-<p>Like this:</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s2">&quot;Gaussian&quot;</span><span class="p">)</span>
+<p>You could remove <code class="docutils literal notranslate"><span class="pre">g1</span></code> like this</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">g1</span><span class="p">)</span>
 </pre></div>
 </div>
 <p>Or like this:</p>
@@ -1331,6 +1319,12 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 scale to obtain the correct axis and origin after convolution.</p>
 </dd></dl>
 
+<dl class="py property">
+<dt class="sig sig-object py" id="exspy.models.EELSModel.signal">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">signal</span></span><a class="headerlink" href="#exspy.models.EELSModel.signal" title="Link to this definition">#</a></dt>
+<dd><p>The signal data to fit.</p>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="exspy.models.EELSModel.smart_fit">
 <span class="sig-name descname"><span class="pre">smart_fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">start_energy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.models.EELSModel.smart_fit" title="Link to this definition">#</a></dt>
@@ -1349,68 +1343,62 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <li><p><strong>start_energy</strong> (<em>{float</em><em>, </em><em>None}</em>) – If float, limit the range of energies from the left to the
 given value.</p></li>
 <li><p><strong>optimizer</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>None</em><em>, </em><em>default None</em>) – <p>The optimization algorithm used to perform the fitting.</p>
-<blockquote>
-<div><ul>
-<li><p>”lm” performs least-squares optimization using the
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code> performs least-squares optimization using the
 Levenberg-Marquardt algorithm, and supports bounds
 on parameters.</p></li>
-<li><p>”trf” performs least-squares optimization using the
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> performs least-squares optimization using the
 Trust Region Reflective algorithm, and supports
 bounds on parameters.</p></li>
-<li><p>”dogbox” performs least-squares optimization using the
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code> performs least-squares optimization using the
 dogleg algorithm with rectangular trust regions, and
 supports bounds on parameters.</p></li>
-<li><p>”odr” performs the optimization using the orthogonal
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;odr&quot;</span></code> performs the optimization using the orthogonal
 distance regression (ODR) algorithm. It does not support
 bounds on parameters. See <code class="xref py py-mod docutils literal notranslate"><span class="pre">scipy.odr</span></code> for more details.</p></li>
 <li><p>All of the available methods for <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.minimize()</span></code>
-can be used here. See the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/model/fitting_model.html#model-fitting" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">User Guide</span></a>
+can be used here. See the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/model/fitting_model.html#model-fitting" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">User Guide</span></a>
 documentation for more details.</p></li>
-<li><p>”Differential Evolution” is a global optimization method.
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;Differential</span> <span class="pre">Evolution&quot;</span></code> is a global optimization method.
 It does support bounds on parameters. See
 <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.differential_evolution()</span></code> for more
 details on available options.</p></li>
-<li><p>”Dual Annealing” is a global optimization method.
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;Dual</span> <span class="pre">Annealing&quot;</span></code> is a global optimization method.
 It does support bounds on parameters. See
 <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.dual_annealing()</span></code> for more
 details on available options. Requires <code class="docutils literal notranslate"><span class="pre">scipy</span> <span class="pre">&gt;=</span> <span class="pre">1.2.0</span></code>.</p></li>
-<li><p>”SHGO” (simplicial homology global optimization” is a global
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;SHGO&quot;</span></code> (simplicial homology global optimization) is a global
 optimization method. It does support bounds on parameters. See
 <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.shgo()</span></code> for more details on available
 options. Requires <code class="docutils literal notranslate"><span class="pre">scipy</span> <span class="pre">&gt;=</span> <span class="pre">1.2.0</span></code>.</p></li>
 </ul>
-</div></blockquote>
 </p></li>
-<li><p><strong>loss_function</strong> (<em>{&quot;ls&quot;</em><em>, </em><em>&quot;ML-poisson&quot;</em><em>, </em><em>&quot;huber&quot;</em><em>, </em><em>callable}</em><em>, </em><em>default &quot;ls&quot;</em>) – <p>The loss function to use for minimization. Only <code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code> is available
-if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">[&quot;lm&quot;,</span> <span class="pre">&quot;trf&quot;,</span> <span class="pre">&quot;dogbox&quot;,</span> <span class="pre">&quot;odr&quot;]</span></code>.</p>
-<blockquote>
-<div><ul>
-<li><p>”ls” minimizes the least-squares loss function.</p></li>
-<li><p>”ML-poisson” minimizes the negative log-likelihood for
+<li><p><strong>loss_function</strong> ({<code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;ML-poisson&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;huber&quot;</span></code>, callable}, default <code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code>) – <p>The loss function to use for minimization. Only <code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code> is available
+if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;odr&quot;</span></code>.</p>
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;ls&quot;</span></code> minimizes the least-squares loss function.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;ML-poisson&quot;</span></code> minimizes the negative log-likelihood for
 Poisson-distributed data. Also known as Poisson maximum
 likelihood estimation (MLE).</p></li>
-<li><p>”huber” minimize the Huber loss function. The delta value
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;huber&quot;</span></code> minimize the Huber loss function. The delta value
 of the Huber function is controlled by the <code class="docutils literal notranslate"><span class="pre">huber_delta</span></code>
 keyword argument (the default value is 1.0).</p></li>
 <li><p>callable supports passing your own minimization function.</p></li>
 </ul>
-</div></blockquote>
 </p></li>
-<li><p><strong>grad</strong> (<em>{&quot;fd&quot;</em><em>, </em><em>&quot;analytical&quot;</em><em>, </em><em>callable</em><em>, </em><em>None}</em><em>, </em><em>default &quot;fd&quot;</em>) – <p>Whether to use information about the gradient of the loss function
+<li><p><strong>grad</strong> ({<code class="docutils literal notranslate"><span class="pre">&quot;fd&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;analytical&quot;</span></code>, callable, None}, default <code class="docutils literal notranslate"><span class="pre">&quot;fd&quot;</span></code>) – <p>Whether to use information about the gradient of the loss function
 as part of the optimization. This parameter has no effect if
 <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is a derivative-free or global optimization method.</p>
-<blockquote>
-<div><ul>
-<li><p>”fd” uses a finite difference scheme (if available) for numerical
+<ul>
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;fd&quot;</span></code> uses a finite difference scheme (if available) for numerical
 estimation of the gradient. The scheme can be further controlled
 with the <code class="docutils literal notranslate"><span class="pre">fd_scheme</span></code> keyword argument.</p></li>
-<li><p>”analytical” uses the analytical gradient (if available) to speed
+<li><p><code class="docutils literal notranslate"><span class="pre">&quot;analytical&quot;</span></code> uses the analytical gradient (if available) to speed
 up the optimization, since the gradient does not need to be estimated.</p></li>
 <li><p>callable should be a function that returns the gradient vector.</p></li>
 <li><p>None means that no gradient information is used or estimated. Not
-available if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is in <code class="docutils literal notranslate"><span class="pre">[&quot;lm&quot;,</span> <span class="pre">&quot;trf&quot;,</span> <span class="pre">``&quot;dogbox&quot;</span></code>].</p></li>
+available if <code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code>.</p></li>
 </ul>
-</div></blockquote>
 </p></li>
 <li><p><strong>bounded</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default False</em>) – If True, performs bounded parameter optimization if
 supported by <code class="docutils literal notranslate"><span class="pre">optimizer</span></code>.</p></li>
@@ -1422,10 +1410,10 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 a <code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.optimize.OptimizeResult</span></code> object.</p></li>
 <li><p><strong>return_info</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default True</em>) – If True, returns the fitting results in the form of
 a <code class="xref py py-class docutils literal notranslate"><span class="pre">scipy.optimize.OptimizeResult</span></code> object.</p></li>
-<li><p><strong>fd_scheme</strong> (<em>str {&quot;2-point&quot;</em><em>, </em><em>&quot;3-point&quot;</em><em>, </em><em>&quot;cs&quot;}</em><em>, </em><em>default &quot;2-point&quot;</em>) – If <code class="docutils literal notranslate"><span class="pre">grad='fd'</span></code>, selects the finite difference scheme to use.
+<li><p><strong>fd_scheme</strong> (str {<code class="docutils literal notranslate"><span class="pre">&quot;2-point&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;3-point&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;cs&quot;</span></code>}, default <code class="docutils literal notranslate"><span class="pre">&quot;2-point&quot;</span></code>) – If <code class="docutils literal notranslate"><span class="pre">grad='fd'</span></code>, selects the finite difference scheme to use.
 See <code class="xref py py-func docutils literal notranslate"><span class="pre">scipy.optimize.minimize()</span></code> for details. Ignored if
-<code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code>.</p></li>
-<li><p><strong>**kwargs</strong> (<em>keyword arguments</em>) – Any extra keyword argument will be passed to the chosen
+<code class="docutils literal notranslate"><span class="pre">optimizer</span></code> is one of <code class="docutils literal notranslate"><span class="pre">&quot;lm&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;trf&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;dogbox&quot;</span></code>.</p></li>
+<li><p><strong>**kwargs</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Any extra keyword argument will be passed to the chosen
 optimizer. For more information, read the docstring of the
 optimizer of your choice in <code class="xref py py-mod docutils literal notranslate"><span class="pre">scipy.optimize</span></code>.</p></li>
 </ul>
@@ -1434,8 +1422,8 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
 <ul class="simple">
-<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.fit" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit()</span></code></a></p></li>
-<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.multifit" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">multifit()</span></code></a></p></li>
+<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.fit" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit()</span></code></a></p></li>
+<li><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/model/basemodel.html#hyperspy.model.BaseModel.multifit" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">multifit()</span></code></a></p></li>
 <li><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">fit()</span></code></p></li>
 </ul>
 </div>
@@ -1575,6 +1563,7 @@ <h1><a class="reference internal" href="#module-exspy.models" title="exspy.model
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.resume_auto_fine_structure_width"><code class="docutils literal notranslate"><span class="pre">resume_auto_fine_structure_width()</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.set_all_edges_intensities_positive"><code class="docutils literal notranslate"><span class="pre">set_all_edges_intensities_positive()</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.set_convolution_axis"><code class="docutils literal notranslate"><span class="pre">set_convolution_axis()</span></code></a></li>
+<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.signal"><code class="docutils literal notranslate"><span class="pre">signal</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.smart_fit"><code class="docutils literal notranslate"><span class="pre">smart_fit()</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.suspend_auto_fine_structure_width"><code class="docutils literal notranslate"><span class="pre">suspend_auto_fine_structure_width()</span></code></a></li>
 <li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#exspy.models.EELSModel.two_area_background_estimation"><code class="docutils literal notranslate"><span class="pre">two_area_background_estimation()</span></code></a></li>
diff --git a/reference/signals.html b/reference/signals.html
index 42c6f52f2..2785511c0 100644
--- a/reference/signals.html
+++ b/reference/signals.html
@@ -531,15 +531,15 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.signals.DielectricFunction">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.signals.</span></span><span class="sig-name descname"><span class="pre">DielectricFunction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.DielectricFunction" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal1D.html#hyperspy.api.signals.ComplexSignal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ComplexSignal1D</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal1D.html#hyperspy.api.signals.ComplexSignal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">ComplexSignal1D</span></code></a></p>
 <p>Signal class for dielectric functions.</p>
 <p>Create a signal instance.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -563,21 +563,21 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>zlp</strong> (float or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a>) – If the ZLP is the same for all spectra, the intengral of the ZLP
+<li><p><strong>zlp</strong> (float or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a>) – If the ZLP is the same for all spectra, the intengral of the ZLP
 can be provided as a number. Otherwise, if the ZLP intensity is not
 the same for all spectra, it can be provided as i) a Signal
 of the same dimensions as the current signal containing the ZLP
 spectra for each location ii) a Signal of signal dimension 0
 and navigation_dimension equal to the current signal containing the
 integrated ZLP intensity.</p></li>
-<li><p><strong>t</strong> (None, float or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a>) – The sample thickness in nm. If the thickness is the same for all
+<li><p><strong>t</strong> (None, float or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a>) – The sample thickness in nm. If the thickness is the same for all
 spectra it can be given by a number. Otherwise, it can be provided
 as a Signal with signal dimension 0 and navigation_dimension equal
 to the current signal.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
-<dd class="field-even"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a></p>
+<dd class="field-even"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a></p>
 </dd>
 </dl>
 </dd></dl>
@@ -607,7 +607,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 signal.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.Signal1D</span></code></a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.Signal1D</span></code></a></p>
 </dd>
 </dl>
 <p class="rubric">Notes</p>
@@ -631,9 +631,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -724,7 +724,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <li><p><strong>display</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, display the user interface widgets. If False, return the
 widgets container in a dictionary, usually for customisation or
 testing.</p></li>
-<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><em>strings</em><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
+<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
 If string, only the widgets of the selected toolkit are displayed
 if available. If an interable of toolkit strings, the widgets of
 all listed toolkits are displayed or returned.</p></li>
@@ -751,15 +751,15 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.signals.EDSSpectrum">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.signals.</span></span><span class="sig-name descname"><span class="pre">EDSSpectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwards</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.EDSSpectrum" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Signal1D</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Signal1D</span></code></a></p>
 <p>General signal class for EDS spectra.</p>
 <p>Create a signal instance.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -1101,72 +1101,171 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 ‘estimate_integration_windows’.
 Else provide an array for which each row corresponds to a X-ray
 line. Each row contains the left and right value of the window.</p></li>
-<li><p><strong>navigator</strong> (str, None, or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass).        Allowed string values are <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>, and <code class="docutils literal notranslate"><span class="pre">'spectrum'</span></code>.) – <p>If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>:</p>
-<blockquote>
-<div><ul>
-<li><p>If <cite>navigation_dimension</cite> &gt; 0, a navigator is
+<li><p><strong>navigator</strong> (str, None, or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass).) – </p></li>
+<li><p><strong>'auto'</strong> (<em>Allowed string values are</em>) – <ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 0, a navigator is
 provided to explore the data.</p></li>
-<li><p>If <cite>navigation_dimension</cite> is 1 and the signal is an image
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is 1 and the signal is an image
 the navigator is a sum spectrum obtained by integrating
 over the signal axes (the image).</p></li>
-<li><p>If <cite>navigation_dimension</cite> is 1 and the signal is a spectrum
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is 1 and the signal is a spectrum
 the navigator is an image obtained by stacking all the
 spectra in the dataset horizontally.</p></li>
-<li><p>If <cite>navigation_dimension</cite> is &gt; 1, the navigator is a sum
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is &gt; 1, the navigator is a sum
 image obtained by integrating the data over the signal axes.</p></li>
-<li><p>Additionally, if <cite>navigation_dimension</cite> &gt; 2, a window
+<li><p>Additionally, if <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 2, a window
 with one slider per axis is raised to navigate the data.</p></li>
-<li><p>For example, if the dataset consists of 3 navigation axes <cite>X</cite>,
-<cite>Y</cite>, <cite>Z</cite> and one signal axis, <cite>E</cite>, the default navigator will
-be an image obtained by integrating the data over <cite>E</cite> at the
-current <cite>Z</cite> index and a window with sliders for the <cite>X</cite>, <cite>Y</cite>,
-and <cite>Z</cite> axes will be raised. Notice that changing the <cite>Z</cite>-axis
+<li><p>For example, if the dataset consists of 3 navigation axes “X”,
+“Y”, “Z” and one signal axis, “E”, the default navigator will
+be an image obtained by integrating the data over “E” at the
+current “Z” index and a window with sliders for the “X”, “Y”,
+and “Z” axes will be raised. Notice that changing the “Z”-axis
 index changes the navigator in this case.</p></li>
 <li><p>For lazy signals, the navigator will be calculated using the
 <code class="xref py py-func docutils literal notranslate"><span class="pre">compute_navigator()</span></code>
 method.</p></li>
 </ul>
-</div></blockquote>
-<p>If <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>:</p>
-<blockquote>
-<div><ul>
-<li><p>If <cite>navigation dimension</cite> &gt; 0 a window with one slider per
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation</span> <span class="pre">dimension</span></code> &gt; 0 a window with one slider per
 axis is raised to navigate the data.</p></li>
 </ul>
-</div></blockquote>
-<p>If <code class="docutils literal notranslate"><span class="pre">'spectrum'</span></code>:</p>
-<blockquote>
-<div><ul>
-<li><p>If <cite>navigation_dimension</cite> &gt; 0 the navigator is always a
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'spectrum'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 0 the navigator is always a
 spectrum obtained by integrating the data over all other axes.</p></li>
 <li><p>Not supported for lazy signals, the <code class="docutils literal notranslate"><span class="pre">'auto'</span></code> option will
 be used instead.</p></li>
 </ul>
-</div></blockquote>
-<p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, no navigator will be provided.</p>
-<p>Alternatively a <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, no navigator will be provided.</p></li>
+</ul>
+<p>Alternatively a <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)
 instance can be provided. The navigation or signal shape must
 match the navigation shape of the signal to plot or the
-<cite>navigation_shape</cite> + <cite>signal_shape</cite> must be equal to the
-<cite>navigator_shape</cite> of the current object (for a dynamic navigator).
-If the signal <cite>dtype</cite> is RGB or RGBA this parameter has no effect and
+<code class="docutils literal notranslate"><span class="pre">navigation_shape</span></code> + <code class="docutils literal notranslate"><span class="pre">signal_shape</span></code> must be equal to the
+<code class="docutils literal notranslate"><span class="pre">navigator_shape</span></code> of the current object (for a dynamic navigator).
+If the signal <code class="docutils literal notranslate"><span class="pre">dtype</span></code> is RGB or RGBA this parameter has no effect and
 the value is always set to <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>.</p>
 </p></li>
-<li><p><strong>axes_manager</strong> (None or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>) – If None, the signal’s <cite>axes_manager</cite> attribute is used.</p></li>
-<li><p><strong>plot_markers</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default True</em>) – Plot markers added using s.add_marker(marker, permanent=True).
+<li><p><strong>'slider'</strong> – <ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 0, a navigator is
+provided to explore the data.</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is 1 and the signal is an image
+the navigator is a sum spectrum obtained by integrating
+over the signal axes (the image).</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is 1 and the signal is a spectrum
+the navigator is an image obtained by stacking all the
+spectra in the dataset horizontally.</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is &gt; 1, the navigator is a sum
+image obtained by integrating the data over the signal axes.</p></li>
+<li><p>Additionally, if <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 2, a window
+with one slider per axis is raised to navigate the data.</p></li>
+<li><p>For example, if the dataset consists of 3 navigation axes “X”,
+“Y”, “Z” and one signal axis, “E”, the default navigator will
+be an image obtained by integrating the data over “E” at the
+current “Z” index and a window with sliders for the “X”, “Y”,
+and “Z” axes will be raised. Notice that changing the “Z”-axis
+index changes the navigator in this case.</p></li>
+<li><p>For lazy signals, the navigator will be calculated using the
+<code class="xref py py-func docutils literal notranslate"><span class="pre">compute_navigator()</span></code>
+method.</p></li>
+</ul>
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation</span> <span class="pre">dimension</span></code> &gt; 0 a window with one slider per
+axis is raised to navigate the data.</p></li>
+</ul>
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'spectrum'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 0 the navigator is always a
+spectrum obtained by integrating the data over all other axes.</p></li>
+<li><p>Not supported for lazy signals, the <code class="docutils literal notranslate"><span class="pre">'auto'</span></code> option will
+be used instead.</p></li>
+</ul>
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, no navigator will be provided.</p></li>
+</ul>
+<p>Alternatively a <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)
+instance can be provided. The navigation or signal shape must
+match the navigation shape of the signal to plot or the
+<code class="docutils literal notranslate"><span class="pre">navigation_shape</span></code> + <code class="docutils literal notranslate"><span class="pre">signal_shape</span></code> must be equal to the
+<code class="docutils literal notranslate"><span class="pre">navigator_shape</span></code> of the current object (for a dynamic navigator).
+If the signal <code class="docutils literal notranslate"><span class="pre">dtype</span></code> is RGB or RGBA this parameter has no effect and
+the value is always set to <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>.</p>
+</p></li>
+<li><p><strong>'spectrum'.</strong> (<em>and</em>) – <ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 0, a navigator is
+provided to explore the data.</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is 1 and the signal is an image
+the navigator is a sum spectrum obtained by integrating
+over the signal axes (the image).</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is 1 and the signal is a spectrum
+the navigator is an image obtained by stacking all the
+spectra in the dataset horizontally.</p></li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> is &gt; 1, the navigator is a sum
+image obtained by integrating the data over the signal axes.</p></li>
+<li><p>Additionally, if <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 2, a window
+with one slider per axis is raised to navigate the data.</p></li>
+<li><p>For example, if the dataset consists of 3 navigation axes “X”,
+“Y”, “Z” and one signal axis, “E”, the default navigator will
+be an image obtained by integrating the data over “E” at the
+current “Z” index and a window with sliders for the “X”, “Y”,
+and “Z” axes will be raised. Notice that changing the “Z”-axis
+index changes the navigator in this case.</p></li>
+<li><p>For lazy signals, the navigator will be calculated using the
+<code class="xref py py-func docutils literal notranslate"><span class="pre">compute_navigator()</span></code>
+method.</p></li>
+</ul>
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation</span> <span class="pre">dimension</span></code> &gt; 0 a window with one slider per
+axis is raised to navigate the data.</p></li>
+</ul>
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">'spectrum'</span></code>:</p>
+<ul>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">navigation_dimension</span></code> &gt; 0 the navigator is always a
+spectrum obtained by integrating the data over all other axes.</p></li>
+<li><p>Not supported for lazy signals, the <code class="docutils literal notranslate"><span class="pre">'auto'</span></code> option will
+be used instead.</p></li>
+</ul>
+</li>
+<li><p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, no navigator will be provided.</p></li>
+</ul>
+<p>Alternatively a <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)
+instance can be provided. The navigation or signal shape must
+match the navigation shape of the signal to plot or the
+<code class="docutils literal notranslate"><span class="pre">navigation_shape</span></code> + <code class="docutils literal notranslate"><span class="pre">signal_shape</span></code> must be equal to the
+<code class="docutils literal notranslate"><span class="pre">navigator_shape</span></code> of the current object (for a dynamic navigator).
+If the signal <code class="docutils literal notranslate"><span class="pre">dtype</span></code> is RGB or RGBA this parameter has no effect and
+the value is always set to <code class="docutils literal notranslate"><span class="pre">'slider'</span></code>.</p>
+</p></li>
+<li><p><strong>axes_manager</strong> (None or <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>) – If None, the signal’s <code class="docutils literal notranslate"><span class="pre">axes_manager</span></code> attribute is used.</p></li>
+<li><p><strong>plot_markers</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>default True</em>) – Plot markers added using <cite>s.add_marker(marker, permanent=True)</cite>.
 Note, a large number of markers might lead to very slow plotting.</p></li>
 <li><p><strong>navigator_kwds</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Only for image navigator, additional keyword arguments for
 <a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.imshow.html#matplotlib.pyplot.imshow" title="(in Matplotlib v3.8.2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">matplotlib.pyplot.imshow()</span></code></a>.</p></li>
-<li><p><strong>norm</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – The function used to normalize the data prior to plotting.
+<li><p><strong>norm</strong> (str, default <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>) – The function used to normalize the data prior to plotting.
 Allowable strings are: <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, <code class="docutils literal notranslate"><span class="pre">'linear'</span></code>, <code class="docutils literal notranslate"><span class="pre">'log'</span></code>.
-(default value is <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>).
 If <code class="docutils literal notranslate"><span class="pre">'auto'</span></code>, intensity is plotted on a linear scale except when
 <code class="docutils literal notranslate"><span class="pre">power_spectrum=True</span></code> (only for complex signals).</p></li>
-<li><p><strong>autoscale</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The string must contain any combination of the ‘x’ and ‘v’
-characters. If ‘x’ or ‘v’ (for values) are in the string, the
+<li><p><strong>autoscale</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – The string must contain any combination of the <code class="docutils literal notranslate"><span class="pre">'x'</span></code> and <code class="docutils literal notranslate"><span class="pre">'v'</span></code>
+characters. If <code class="docutils literal notranslate"><span class="pre">'x'</span></code> or <code class="docutils literal notranslate"><span class="pre">'v'</span></code> (for values) are in the string, the
 corresponding horizontal or vertical axis limits are set to their
 maxima and the axis limits will reset when the data or the
-navigation indices are changed. Default is ‘v’.</p></li>
+navigation indices are changed. Default is <code class="docutils literal notranslate"><span class="pre">'v'</span></code>.</p></li>
 </ul>
 </dd>
 </dl>
@@ -1205,19 +1304,19 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dt class="sig sig-object py" id="exspy.signals.EDSSpectrum.rebin">
 <span class="sig-name descname"><span class="pre">rebin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.EDSSpectrum.rebin" title="Link to this definition">#</a></dt>
 <dd><p>Rebin the signal into a smaller or larger shape, based on linear
-interpolation. Specify <strong>either</strong> <cite>new_shape</cite> or <cite>scale</cite>. Scale of 1
+interpolation. Specify <strong>either</strong> <code class="docutils literal notranslate"><span class="pre">new_shape</span></code> or <code class="docutils literal notranslate"><span class="pre">scale</span></code>. Scale of 1
 means no binning and scale less than one results in up-sampling.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>new_shape</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><em>floats</em><em> or </em><em>integer</em><em>) or </em><em>None</em>) – For each dimension specify the new_shape. This will internally be
+<li><p><strong>new_shape</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>) or </em><em>None</em>) – For each dimension specify the new_shape. This will internally be
 converted into a <code class="docutils literal notranslate"><span class="pre">scale</span></code> parameter.</p></li>
-<li><p><strong>scale</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><em>floats</em><em> or </em><em>integer</em><em>) or </em><em>None</em>) – For each dimension, specify the new:old pixel ratio, e.g. a ratio
+<li><p><strong>scale</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>) or </em><em>None</em>) – For each dimension, specify the new:old pixel ratio, e.g. a ratio
 of 1 is no binning and a ratio of 2 means that each pixel in the new
 spectrum is twice the size of the pixels in the old spectrum.
 The length of the list should match the dimension of the
 Signal’s underlying data array.
-<em>Note : Only one of `scale` or `new_shape` should be specified,
+<em>Note : Only one of ``scale`` or ``new_shape`` should be specified,
 otherwise the function will not run</em></p></li>
 <li><p><strong>crop</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Whether or not to crop the resulting rebinned data (default is
 <code class="docutils literal notranslate"><span class="pre">True</span></code>). When binning by a non-integer number of
@@ -1232,29 +1331,29 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 over. It can be removed but has been left to preserve total counts
 before and after binning.</em></p></li>
 <li><p><strong>dtype</strong> (<em>{None</em><em>, </em><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.dtype.html#numpy.dtype" title="(in NumPy v1.26)"><em>numpy.dtype</em></a><em>, </em><em>&quot;same&quot;}</em>) – Specify the dtype of the output. If None, the dtype will be
-determined by the behaviour of <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.sum.html#numpy.sum" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.sum()</span></code></a>, if “same”,
+determined by the behaviour of <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.sum.html#numpy.sum" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.sum()</span></code></a>, if <code class="docutils literal notranslate"><span class="pre">&quot;same&quot;</span></code>,
 the dtype will be kept the same. Default is None.</p></li>
-<li><p><strong>out</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclasses) or <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="xref py py-data docutils literal notranslate"><span class="pre">None</span></code></a>) – If <code class="docutils literal notranslate"><span class="pre">None</span></code>, a new Signal is created with the result of the
+<li><p><strong>out</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass) or None) – If <code class="docutils literal notranslate"><span class="pre">None</span></code>, a new Signal is created with the result of the
 operation and returned (default). If a Signal is passed,
 it is used to receive the output of the operation, and nothing is
 returned.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p><strong>s</strong> – The resulting cropped signal.</p>
+<dd class="field-even"><p>The resulting cropped signal.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)</p>
+<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><em>BaseSignal</em></a></p>
 </dd>
 <dt class="field-even">Raises<span class="colon">:</span></dt>
 <dd class="field-even"><p><a class="reference external" href="https://docs.python.org/3/library/exceptions.html#NotImplementedError" title="(in Python v3.12)"><strong>NotImplementedError</strong></a> – If trying to rebin over a non-uniform axis.</p>
 </dd>
 </dl>
 <p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">spectrum</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">EDSTEMSpectrum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">10</span><span class="p">]))</span>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">spectrum</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">Signal1D</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">10</span><span class="p">]))</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">spectrum</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">9</span><span class="p">]</span> <span class="o">=</span> <span class="mi">5</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">spectrum</span><span class="p">)</span>
-<span class="go">&lt;EDSTEMSpectrum, title: , dimensions: (4, 4|10)&gt;</span>
+<span class="go">&lt;Signal1D, title: , dimensions: (4, 4|10)&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span> <span class="p">(</span><span class="s1">&#39;Sum =&#39;</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="n">spectrum</span><span class="o">.</span><span class="n">data</span><span class="p">))))</span>
 <span class="go">Sum = 164.0</span>
 </pre></div>
@@ -1262,7 +1361,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">scale</span> <span class="o">=</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">test</span> <span class="o">=</span> <span class="n">spectrum</span><span class="o">.</span><span class="n">rebin</span><span class="p">(</span><span class="n">scale</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">test</span><span class="p">)</span>
-<span class="go">&lt;EDSTEMSpectrum, title: , dimensions: (2, 2|5)&gt;</span>
+<span class="go">&lt;Signal1D, title: , dimensions: (2, 2|5)&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Sum =&#39;</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="n">test</span><span class="o">.</span><span class="n">data</span><span class="p">))))</span>
 <span class="go">Sum = 164.0</span>
 </pre></div>
@@ -1274,7 +1373,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <span class="go">uint8</span>
 </pre></div>
 </div>
-<p>Use dtype=np.unit16 to specify a dtype</p>
+<p>Use <code class="docutils literal notranslate"><span class="pre">dtype=np.unit16</span></code> to specify a dtype</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s2</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">rebin</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint16</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">s2</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
 <span class="go">uint16</span>
@@ -1286,12 +1385,12 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <span class="go">uint8</span>
 </pre></div>
 </div>
-<p>By default <cite>dtype=None</cite>, the dtype is determined by the behaviour of
+<p>By default <code class="docutils literal notranslate"><span class="pre">dtype=None</span></code>, the dtype is determined by the behaviour of
 numpy.sum, in this case, unsigned integer of the same precision as
-the platform interger</p>
+the platform integer</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s4</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">rebin</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">s4</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
-<span class="go">uint64</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">s4</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> 
+<span class="go">uint32</span>
 </pre></div>
 </div>
 </dd></dl>
@@ -1379,12 +1478,12 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>axis</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.DataAxis" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataAxis</span></code></a>, tuple (of DataAxis) or <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="xref py py-data docutils literal notranslate"><span class="pre">None</span></code></a>) – Either one on its own, or many axes in a tuple can be passed. In
+<li><p><strong>axis</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.DataAxis" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataAxis</span></code></a> or tuple) – Either one on its own, or many axes in a tuple can be passed. In
 both cases the axes can be passed directly, or specified using the
 index in <cite>axes_manager</cite> or the name of the axis. Any duplicates are
 removed. If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the operation is performed over all navigation
 axes (default).</p></li>
-<li><p><strong>out</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclasses) or <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="xref py py-data docutils literal notranslate"><span class="pre">None</span></code></a>) – If <code class="docutils literal notranslate"><span class="pre">None</span></code>, a new Signal is created with the result of the
+<li><p><strong>out</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass) or None) – If <code class="docutils literal notranslate"><span class="pre">None</span></code>, a new Signal is created with the result of the
 operation and returned (default). If a Signal is passed,
 it is used to receive the output of the operation, and nothing is
 returned.</p></li>
@@ -1395,20 +1494,18 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p><strong>s</strong> – A new Signal containing the sum of the provided Signal along the
+<dd class="field-even"><p>A new Signal containing the sum of the provided Signal along the
 specified axes.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclasses)</p>
+<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><em>BaseSignal</em></a></p>
 </dd>
 </dl>
-<div class="admonition note">
-<p class="admonition-title">Note</p>
+<p class="rubric">Notes</p>
 <p>If you intend to calculate the numerical integral of an unbinned signal,
-please use the <code class="xref py py-meth docutils literal notranslate"><span class="pre">integrate1D()</span></code> function instead. To avoid
-erroneous misuse of the <cite>sum</cite> function as integral, it raises a warning
-when working with an unbinned, non-uniform axis.</p>
-</div>
+please use the <code class="xref py py-meth docutils literal notranslate"><span class="pre">integrate1D()</span></code> function
+instead. To avoid erroneous misuse of the <cite>sum</cite> function as integral,
+it raises a warning when working with an unbinned, non-uniform axis.</p>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
 <p><a class="reference external" href="https://docs.python.org/3/library/functions.html#max" title="(in Python v3.12)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">max</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#min" title="(in Python v3.12)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">mean</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">std</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">var</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">indexmax</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">indexmin</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">valuemax</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">valuemin</span></code></p>
@@ -1435,9 +1532,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -1462,7 +1559,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>weight_percent</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)) – Stack of compositions as determined from an initial k_factor
+<li><p><strong>weight_percent</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)) – Stack of compositions as determined from an initial k_factor
 quantification.</p></li>
 <li><p><strong>thickness</strong> (float or <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>) – Either a float value for thickness in nm or an array equal to the
 size of the EDX map with thickness at each position of the sample.</p></li>
@@ -1507,7 +1604,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <span class="sig-name descname"><span class="pre">decomposition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">normalize_poissonian_noise</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">navigation_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">closing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.EDSTEMSpectrum.decomposition" title="Link to this definition">#</a></dt>
 <dd><p>Apply a decomposition to a dataset with a choice of algorithms.</p>
 <p>The results are stored in <code class="docutils literal notranslate"><span class="pre">self.learning_results</span></code>.</p>
-<p>Read more in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/mva/decomposition.html#mva-decomposition" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">User Guide</span></a>.</p>
+<p>Read more in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/mva/decomposition.html#mva-decomposition" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">User Guide</span></a>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
@@ -1770,7 +1867,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <li><p><strong>display</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, display the user interface widgets. If False, return the
 widgets container in a dictionary, usually for customisation or
 testing.</p></li>
-<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><em>strings</em><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
+<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
 If string, only the widgets of the selected toolkit are displayed
 if available. If an interable of toolkit strings, the widgets of
 all listed toolkits are displayed or returned.</p></li>
@@ -1828,15 +1925,15 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.signals.EELSSpectrum">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.signals.</span></span><span class="sig-name descname"><span class="pre">EELSSpectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.EELSSpectrum" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Signal1D</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Signal1D</span></code></a></p>
 <p>Signal class for EELS spectra.</p>
 <p>Create a signal instance.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -2252,7 +2349,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>zero_loss_peak_mask_width</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Width of the zero loss peak mask.</p></li>
-<li><p><strong>signal_mask</strong> (<em>bool array</em>) – Restricts the operation to the signal locations not marked
+<li><p><strong>signal_mask</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a><em> of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Restricts the operation to the signal locations not marked
 as True (masked).</p></li>
 </ul>
 </dd>
@@ -2433,19 +2530,19 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dt class="sig sig-object py" id="exspy.signals.EELSSpectrum.rebin">
 <span class="sig-name descname"><span class="pre">rebin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">new_shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.EELSSpectrum.rebin" title="Link to this definition">#</a></dt>
 <dd><p>Rebin the signal into a smaller or larger shape, based on linear
-interpolation. Specify <strong>either</strong> <cite>new_shape</cite> or <cite>scale</cite>. Scale of 1
+interpolation. Specify <strong>either</strong> <code class="docutils literal notranslate"><span class="pre">new_shape</span></code> or <code class="docutils literal notranslate"><span class="pre">scale</span></code>. Scale of 1
 means no binning and scale less than one results in up-sampling.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>new_shape</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><em>floats</em><em> or </em><em>integer</em><em>) or </em><em>None</em>) – For each dimension specify the new_shape. This will internally be
+<li><p><strong>new_shape</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>) or </em><em>None</em>) – For each dimension specify the new_shape. This will internally be
 converted into a <code class="docutils literal notranslate"><span class="pre">scale</span></code> parameter.</p></li>
-<li><p><strong>scale</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><em>floats</em><em> or </em><em>integer</em><em>) or </em><em>None</em>) – For each dimension, specify the new:old pixel ratio, e.g. a ratio
+<li><p><strong>scale</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#list" title="(in Python v3.12)"><em>list</em></a><em> (of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>) or </em><em>None</em>) – For each dimension, specify the new:old pixel ratio, e.g. a ratio
 of 1 is no binning and a ratio of 2 means that each pixel in the new
 spectrum is twice the size of the pixels in the old spectrum.
 The length of the list should match the dimension of the
 Signal’s underlying data array.
-<em>Note : Only one of `scale` or `new_shape` should be specified,
+<em>Note : Only one of ``scale`` or ``new_shape`` should be specified,
 otherwise the function will not run</em></p></li>
 <li><p><strong>crop</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Whether or not to crop the resulting rebinned data (default is
 <code class="docutils literal notranslate"><span class="pre">True</span></code>). When binning by a non-integer number of
@@ -2460,29 +2557,29 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 over. It can be removed but has been left to preserve total counts
 before and after binning.</em></p></li>
 <li><p><strong>dtype</strong> (<em>{None</em><em>, </em><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.dtype.html#numpy.dtype" title="(in NumPy v1.26)"><em>numpy.dtype</em></a><em>, </em><em>&quot;same&quot;}</em>) – Specify the dtype of the output. If None, the dtype will be
-determined by the behaviour of <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.sum.html#numpy.sum" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.sum()</span></code></a>, if “same”,
+determined by the behaviour of <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.sum.html#numpy.sum" title="(in NumPy v1.26)"><code class="xref py py-func docutils literal notranslate"><span class="pre">numpy.sum()</span></code></a>, if <code class="docutils literal notranslate"><span class="pre">&quot;same&quot;</span></code>,
 the dtype will be kept the same. Default is None.</p></li>
-<li><p><strong>out</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclasses) or <a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><code class="xref py py-data docutils literal notranslate"><span class="pre">None</span></code></a>) – If <code class="docutils literal notranslate"><span class="pre">None</span></code>, a new Signal is created with the result of the
+<li><p><strong>out</strong> (<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass) or None) – If <code class="docutils literal notranslate"><span class="pre">None</span></code>, a new Signal is created with the result of the
 operation and returned (default). If a Signal is passed,
 it is used to receive the output of the operation, and nothing is
 returned.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
-<dd class="field-even"><p><strong>s</strong> – The resulting cropped signal.</p>
+<dd class="field-even"><p>The resulting cropped signal.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseSignal</span></code></a> (or subclass)</p>
+<dd class="field-odd"><p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><em>BaseSignal</em></a></p>
 </dd>
 <dt class="field-even">Raises<span class="colon">:</span></dt>
 <dd class="field-even"><p><a class="reference external" href="https://docs.python.org/3/library/exceptions.html#NotImplementedError" title="(in Python v3.12)"><strong>NotImplementedError</strong></a> – If trying to rebin over a non-uniform axis.</p>
 </dd>
 </dl>
 <p class="rubric">Examples</p>
-<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">spectrum</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">EDSTEMSpectrum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">10</span><span class="p">]))</span>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">spectrum</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">signals</span><span class="o">.</span><span class="n">Signal1D</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">10</span><span class="p">]))</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">spectrum</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">9</span><span class="p">]</span> <span class="o">=</span> <span class="mi">5</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">spectrum</span><span class="p">)</span>
-<span class="go">&lt;EDSTEMSpectrum, title: , dimensions: (4, 4|10)&gt;</span>
+<span class="go">&lt;Signal1D, title: , dimensions: (4, 4|10)&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span> <span class="p">(</span><span class="s1">&#39;Sum =&#39;</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="n">spectrum</span><span class="o">.</span><span class="n">data</span><span class="p">))))</span>
 <span class="go">Sum = 164.0</span>
 </pre></div>
@@ -2490,7 +2587,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">scale</span> <span class="o">=</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">test</span> <span class="o">=</span> <span class="n">spectrum</span><span class="o">.</span><span class="n">rebin</span><span class="p">(</span><span class="n">scale</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">test</span><span class="p">)</span>
-<span class="go">&lt;EDSTEMSpectrum, title: , dimensions: (2, 2|5)&gt;</span>
+<span class="go">&lt;Signal1D, title: , dimensions: (2, 2|5)&gt;</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Sum =&#39;</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="nb">sum</span><span class="p">(</span><span class="n">test</span><span class="o">.</span><span class="n">data</span><span class="p">))))</span>
 <span class="go">Sum = 164.0</span>
 </pre></div>
@@ -2502,7 +2599,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <span class="go">uint8</span>
 </pre></div>
 </div>
-<p>Use dtype=np.unit16 to specify a dtype</p>
+<p>Use <code class="docutils literal notranslate"><span class="pre">dtype=np.unit16</span></code> to specify a dtype</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s2</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">rebin</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint16</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">s2</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
 <span class="go">uint16</span>
@@ -2514,12 +2611,12 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <span class="go">uint8</span>
 </pre></div>
 </div>
-<p>By default <cite>dtype=None</cite>, the dtype is determined by the behaviour of
+<p>By default <code class="docutils literal notranslate"><span class="pre">dtype=None</span></code>, the dtype is determined by the behaviour of
 numpy.sum, in this case, unsigned integer of the same precision as
-the platform interger</p>
+the platform integer</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s4</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">rebin</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">s4</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
-<span class="go">uint64</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">print</span><span class="p">(</span><span class="n">s4</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> 
+<span class="go">uint32</span>
 </pre></div>
 </div>
 </dd></dl>
@@ -2568,7 +2665,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 </dd>
 <dt>collection_angle<span class="classifier">float</span></dt><dd><p>The collection semi-angle in mrad.</p>
 </dd>
-<dt>toolkit<span class="classifier">str, iterable of strings or None</span></dt><dd><p>If None (default), all available widgets are displayed or returned.
+<dt>toolkit<span class="classifier">str, iterable of str or None</span></dt><dd><p>If None (default), all available widgets are displayed or returned.
 If string, only the widgets of the selected toolkit are displayed
 if available. If an interable of toolkit strings, the widgets of
 all listed toolkits are displayed or returned.</p>
@@ -2596,7 +2693,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 provided value as width of the zero loss peak mask.
 Default is None.</p></li>
 <li><p><strong>**kwargs</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Keyword arguments pass to
-<code class="xref py py-meth docutils literal notranslate"><span class="pre">get_histogram()</span></code></p></li>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.get_histogram" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">get_histogram()</span></code></a></p></li>
 </ul>
 </dd>
 </dl>
@@ -2611,19 +2708,18 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <span class="sig-name descname"><span class="pre">spikes_removal_tool</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">signal_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">navigation_mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">zero_loss_peak_mask_width</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interactive</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">display</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">toolkit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.EELSSpectrum.spikes_removal_tool" title="Link to this definition">#</a></dt>
 <dd><p>Graphical interface to remove spikes from EELS spectra or
 luminescence data.
-If non-interactive, it removes all spikes and returns a
-<cite>~hyperspy.signals._signal_tools.SpikesRemoval</cite> object.</p>
+If non-interactive, it removes all spikes.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>signal_mask</strong> (<em>bool array</em>) – Restricts the operation to the signal locations not marked
+<li><p><strong>signal_mask</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a><em> of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Restricts the operation to the signal locations not marked
 as True (masked).</p></li>
-<li><p><strong>navigation_mask</strong> (<em>bool array</em>) – Restricts the operation to the navigation locations not marked
+<li><p><strong>navigation_mask</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a><em> of </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – Restricts the operation to the navigation locations not marked
 as True (masked).</p></li>
-<li><p><strong>threshold</strong> (<em>'auto'</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – if <cite>int</cite> set the threshold value use for the detecting the spikes.
-If <cite>auto</cite>, determine the threshold value as being the first zero
+<li><p><strong>threshold</strong> (<code class="docutils literal notranslate"><span class="pre">'auto'</span></code> or int) – if <code class="docutils literal notranslate"><span class="pre">int</span></code> set the threshold value use for the detecting the spikes.
+If <code class="docutils literal notranslate"><span class="pre">&quot;auto&quot;</span></code>, determine the threshold value as being the first zero
 value in the histogram obtained from the
-<code class="xref py py-meth docutils literal notranslate"><span class="pre">spikes_diagnosis()</span></code>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D.spikes_diagnosis" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">spikes_diagnosis()</span></code></a>
 method.</p></li>
 <li><p><strong>zero_loss_peak_mask_width</strong> (<em>None</em><em> or </em><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – If None, the zero loss peak is not masked, otherwise, use the
 provided value as width of the zero loss peak mask.
@@ -2632,25 +2728,21 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 If False, remove all the spikes automatically, which can
 introduce artefacts if used with signal containing peak-like
 features. However, this can be mitigated by using the
-<cite>signal_mask</cite> argument to mask the signal of interest.</p></li>
+<code class="docutils literal notranslate"><span class="pre">signal_mask</span></code> argument to mask the signal of interest.</p></li>
 <li><p><strong>display</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – If True, display the user interface widgets. If False, return the
 widgets container in a dictionary, usually for customisation or
 testing.</p></li>
-<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><em>strings</em><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
+<li><p><strong>toolkit</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>iterable</em><em> of </em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em> or </em><em>None</em>) – If None (default), all available widgets are displayed or returned.
 If string, only the widgets of the selected toolkit are displayed
 if available. If an interable of toolkit strings, the widgets of
 all listed toolkits are displayed or returned.</p></li>
-<li><p><strong>**kwargs</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – <dl class="simple">
-<dt>Keyword arguments pass to</dt><dd><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">SpikesRemoval()</span></code></p>
-</dd>
-</dl>
-</p></li>
+<li><p><strong>**kwargs</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – Keyword arguments pass to <code class="docutils literal notranslate"><span class="pre">SpikesRemoval</span></code>.</p></li>
 </ul>
 </dd>
 </dl>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
-<p><code class="xref py py-meth docutils literal notranslate"><span class="pre">spikes_diagnosis()</span></code></p>
+<p><a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D.spikes_diagnosis" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">spikes_diagnosis()</span></code></a></p>
 </div>
 </dd></dl>
 
@@ -2684,7 +2776,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.signals.LazyDielectricFunction">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.signals.</span></span><span class="sig-name descname"><span class="pre">LazyDielectricFunction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.LazyDielectricFunction" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#exspy.signals.DielectricFunction" title="exspy.signals.dielectric_function.DielectricFunction"><code class="xref py py-class docutils literal notranslate"><span class="pre">DielectricFunction</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/signal/LazyComplexSignal1D.html#hyperspy._lazy_signals.LazyComplexSignal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LazyComplexSignal1D</span></code></a></p>
+<dd><p>Bases: <a class="reference internal" href="#exspy.signals.DielectricFunction" title="exspy.signals.dielectric_function.DielectricFunction"><code class="xref py py-class docutils literal notranslate"><span class="pre">DielectricFunction</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/signal/LazyComplexSignal1D.html#hyperspy._lazy_signals.LazyComplexSignal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LazyComplexSignal1D</span></code></a></p>
 <p>Lazy signal class for dielectric functions.
 The computation is delayed until explicitly requested.</p>
 <p>This class is not expected to be instantiated directly, instead use:</p>
@@ -2696,9 +2788,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://docs.dask.org/en/latest/generated/dask.array.Array.html#dask.array.Array" title="(in Dask)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dask.array.Array</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -2731,9 +2823,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://docs.dask.org/en/latest/generated/dask.array.Array.html#dask.array.Array" title="(in Dask)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dask.array.Array</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -2754,7 +2846,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.signals.LazyEDSSpectrum">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.signals.</span></span><span class="sig-name descname"><span class="pre">LazyEDSSpectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwards</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.LazyEDSSpectrum" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#exspy.signals.EDSSpectrum" title="exspy.signals.eds.EDSSpectrum"><code class="xref py py-class docutils literal notranslate"><span class="pre">EDSSpectrum</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/signal/LazySignal1D.html#hyperspy._lazy_signals.LazySignal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LazySignal1D</span></code></a></p>
+<dd><p>Bases: <a class="reference internal" href="#exspy.signals.EDSSpectrum" title="exspy.signals.eds.EDSSpectrum"><code class="xref py py-class docutils literal notranslate"><span class="pre">EDSSpectrum</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/signal/LazySignal1D.html#hyperspy._lazy_signals.LazySignal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LazySignal1D</span></code></a></p>
 <p>Lazy general signal class for EDS spectra.
 The computation is delayed until explicitly requested.</p>
 <p>This class is not expected to be instantiated directly, instead use:</p>
@@ -2766,9 +2858,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://docs.dask.org/en/latest/generated/dask.array.Array.html#dask.array.Array" title="(in Dask)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dask.array.Array</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -2801,9 +2893,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://docs.dask.org/en/latest/generated/dask.array.Array.html#dask.array.Array" title="(in Dask)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dask.array.Array</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
@@ -2824,7 +2916,7 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="py class">
 <dt class="sig sig-object py" id="exspy.signals.LazyEELSSpectrum">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">exspy.signals.</span></span><span class="sig-name descname"><span class="pre">LazyEELSSpectrum</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#exspy.signals.LazyEELSSpectrum" title="Link to this definition">#</a></dt>
-<dd><p>Bases: <a class="reference internal" href="#exspy.signals.EELSSpectrum" title="exspy.signals.eels.EELSSpectrum"><code class="xref py py-class docutils literal notranslate"><span class="pre">EELSSpectrum</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/signal/LazySignal1D.html#hyperspy._lazy_signals.LazySignal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LazySignal1D</span></code></a></p>
+<dd><p>Bases: <a class="reference internal" href="#exspy.signals.EELSSpectrum" title="exspy.signals.eels.EELSSpectrum"><code class="xref py py-class docutils literal notranslate"><span class="pre">EELSSpectrum</span></code></a>, <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/signal/LazySignal1D.html#hyperspy._lazy_signals.LazySignal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">LazySignal1D</span></code></a></p>
 <p>Lazy signal class for EELS spectra.
 The computation is delayed until explicitly requested.</p>
 <p>This class is not expected to be instantiated directly, instead use:</p>
@@ -2836,9 +2928,9 @@ <h1><a class="reference internal" href="#module-exspy.signals" title="exspy.sign
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>data</strong> (<a class="reference external" href="https://docs.dask.org/en/latest/generated/dask.array.Array.html#dask.array.Array" title="(in Dask)"><code class="xref py py-class docutils literal notranslate"><span class="pre">dask.array.Array</span></code></a>) – The signal data. It can be an array of any dimensions.</p></li>
+<li><p><strong>data</strong> (<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray" title="(in NumPy v1.26)"><em>numpy.ndarray</em></a>) – The signal data. It can be an array of any dimensions.</p></li>
 <li><p><strong>axes</strong> (<em>[</em><em>dict/axes</em><em>]</em><em>, </em><em>optional</em>) – List of either dictionaries or axes objects to define the axes (see
-the documentation of the <code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code>
+the documentation of the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">AxesManager</span></code></a>
 class for more details).</p></li>
 <li><p><strong>attributes</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary whose items are stored as attributes.</p></li>
 <li><p><strong>metadata</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a><em>, </em><em>optional</em>) – A dictionary containing a set of parameters
diff --git a/searchindex.js b/searchindex.js
index 0282f8fc9..9760a50c4 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
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"quantification() (exspy.signals.edstemspectrum method)": [[17, "exspy.signals.EDSTEMSpectrum.quantification"]], "rebin() (exspy.signals.edsspectrum method)": [[17, "exspy.signals.EDSSpectrum.rebin"]], "rebin() (exspy.signals.eelsspectrum method)": [[17, "exspy.signals.EELSSpectrum.rebin"]], "remove_xray_lines_markers() (exspy.signals.edsspectrum method)": [[17, "exspy.signals.EDSSpectrum.remove_xray_lines_markers"]], "richardson_lucy_deconvolution() (exspy.signals.eelsspectrum method)": [[17, "exspy.signals.EELSSpectrum.richardson_lucy_deconvolution"]], "set_elements() (exspy.signals.edsspectrum method)": [[17, "exspy.signals.EDSSpectrum.set_elements"]], "set_lines() (exspy.signals.edsspectrum method)": [[17, "exspy.signals.EDSSpectrum.set_lines"]], "set_microscope_parameters() (exspy.signals.edssemspectrum method)": [[17, "exspy.signals.EDSSEMSpectrum.set_microscope_parameters"]], "set_microscope_parameters() (exspy.signals.edstemspectrum method)": [[17, "exspy.signals.EDSTEMSpectrum.set_microscope_parameters"]], "set_microscope_parameters() (exspy.signals.eelsspectrum method)": [[17, "exspy.signals.EELSSpectrum.set_microscope_parameters"]], "spikes_diagnosis() (exspy.signals.eelsspectrum method)": [[17, "exspy.signals.EELSSpectrum.spikes_diagnosis"]], "spikes_removal_tool() (exspy.signals.eelsspectrum method)": [[17, "exspy.signals.EELSSpectrum.spikes_removal_tool"]], "sum() (exspy.signals.edsspectrum method)": [[17, "exspy.signals.EDSSpectrum.sum"]], "vacuum_mask() (exspy.signals.edstemspectrum method)": [[17, "exspy.signals.EDSTEMSpectrum.vacuum_mask"]], "vacuum_mask() (exspy.signals.eelsspectrum method)": [[17, "exspy.signals.EELSSpectrum.vacuum_mask"]]}})
\ No newline at end of file
diff --git a/sg_execution_times.html b/sg_execution_times.html
index b1e9073e7..21c2ba42e 100644
--- a/sg_execution_times.html
+++ b/sg_execution_times.html
@@ -450,7 +450,7 @@
                   
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
-<p><strong>00:12.745</strong> total execution time for 3 files <strong>from all galleries</strong>:</p>
+<p><strong>00:09.715</strong> total execution time for 3 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -472,15 +472,15 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/model_fitting/EELS_curve_fitting.html#sphx-glr-auto-examples-model-fitting-eels-curve-fitting-py"><span class="std std-ref">EELS curve fitting</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/model_fitting/EELS_curve_fitting.py</span></code>)</p></td>
-<td><p>00:11.813</p></td>
+<td><p>00:08.819</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="auto_examples/model_fitting/plot_residual.html#sphx-glr-auto-examples-model-fitting-plot-residual-py"><span class="std std-ref">Plot Residual</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/model_fitting/plot_residual.py</span></code>)</p></td>
-<td><p>00:00.566</p></td>
+<td><p>00:00.534</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="auto_examples/model_fitting/simple_arctan_fit.html#sphx-glr-auto-examples-model-fitting-simple-arctan-fit-py"><span class="std std-ref">Simple arctan fit</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/model_fitting/simple_arctan_fit.py</span></code>)</p></td>
-<td><p>00:00.366</p></td>
+<td><p>00:00.362</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/user_guide/dielectric_function.html b/user_guide/dielectric_function.html
index a06505cbb..069914d3e 100644
--- a/user_guide/dielectric_function.html
+++ b/user_guide/dielectric_function.html
@@ -474,9 +474,9 @@
   <section id="dielectric-function-tools">
 <span id="dielectric-function-label"></span><h1>Dielectric function tools<a class="headerlink" href="#dielectric-function-tools" title="Link to this heading">#</a></h1>
 <p>The <a class="reference internal" href="../reference/signals.html#exspy.signals.DielectricFunction" title="exspy.signals.DielectricFunction"><code class="xref py py-class docutils literal notranslate"><span class="pre">DielectricFunction</span></code></a> class
-inherits from <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal.html#hyperspy.api.signals.ComplexSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.ComplexSignal</span></code></a> and can
+inherits from <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal.html#hyperspy.api.signals.ComplexSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.ComplexSignal</span></code></a> and can
 thus access complex properties. To convert a
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal.html#hyperspy.api.signals.ComplexSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.ComplexSignal</span></code></a> to a
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal.html#hyperspy.api.signals.ComplexSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.ComplexSignal</span></code></a> to a
 <a class="reference internal" href="../reference/signals.html#exspy.signals.DielectricFunction" title="exspy.signals.DielectricFunction"><code class="xref py py-class docutils literal notranslate"><span class="pre">DielectricFunction</span></code></a>,
 make sure that the signal dimension and signal type are properly set:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">set_signal_type</span><span class="p">(</span><span class="s1">&#39;DielectricFunction&#39;</span><span class="p">)</span>
@@ -484,7 +484,7 @@
 </div>
 <p>Note that <a class="reference internal" href="../reference/signals.html#exspy.signals.DielectricFunction" title="exspy.signals.DielectricFunction"><code class="xref py py-class docutils literal notranslate"><span class="pre">DielectricFunction</span></code></a> is
 complex and therefore is a subclass of
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal1D.html#hyperspy.api.signals.ComplexSignal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.ComplexSignal1D</span></code></a>.</p>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/ComplexSignal1D.html#hyperspy.api.signals.ComplexSignal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.ComplexSignal1D</span></code></a>.</p>
 <section id="number-of-effective-electrons">
 <h2>Number of effective electrons<a class="headerlink" href="#number-of-effective-electrons" title="Link to this heading">#</a></h2>
 <p>The Bethe f-sum rule gives rise to two definitions of the effective number (see
diff --git a/user_guide/eds.html b/user_guide/eds.html
index 40a5eecdb..bed8dc498 100644
--- a/user_guide/eds.html
+++ b/user_guide/eds.html
@@ -500,8 +500,8 @@ <h2>Spectrum loading and parameters<a class="headerlink" href="#spectrum-loading
 </div>
 <section id="loading-data">
 <h3>Loading data<a class="headerlink" href="#loading-data" title="Link to this heading">#</a></h3>
-<p>All data are loaded with the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.html#hyperspy.api.load" title="(in HyperSpy v2.0rc0)"><code class="xref py py-func docutils literal notranslate"><span class="pre">hyperspy.api.load()</span></code></a> function, as described in
-detail in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/io.html#loading-files" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">loading files</span></a> of the HyperSpy
+<p>All data are loaded with the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.html#hyperspy.api.load" title="(in HyperSpy v2.0rc2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">hyperspy.api.load()</span></code></a> function, as described in
+detail in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/io.html#loading-files" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">loading files</span></a> of the HyperSpy
 documentation. HyperSpy is able to import different formats, among them
 <code class="docutils literal notranslate"><span class="pre">msa</span></code> and <code class="docutils literal notranslate"><span class="pre">rpl</span></code> (the raw format of Oxford Instruments and Bruker).</p>
 <p>Here are three examples of files exported by Oxford Instruments software
@@ -512,7 +512,7 @@ <h3>Loading data<a class="headerlink" href="#loading-data" title="Link to this h
 </pre></div>
 </div>
 <p>For a spectrum image (The .rpl file is recorded as an image in this example,
-The method <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.as_signal1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.as_signal1D()</span></code></a> set it back to a one
+The method <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.as_signal1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.as_signal1D()</span></code></a> set it back to a one
 dimensional signal with the energy axis in first position):</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">si</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">&quot;Ni_superalloy_010.rpl&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">as_signal1D</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">si</span>
@@ -530,7 +530,7 @@ <h3>Loading data<a class="headerlink" href="#loading-data" title="Link to this h
 <section id="microscope-and-detector-parameters">
 <span id="eds-calibration-label"></span><h3>Microscope and detector parameters<a class="headerlink" href="#microscope-and-detector-parameters" title="Link to this heading">#</a></h3>
 <p>First, the signal type (“EDS_TEM” or “EDS_SEM”) needs to be set with the
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.set_signal_type" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.set_signal_type()</span></code></a> method. By assigning the
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.set_signal_type" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.set_signal_type()</span></code></a> method. By assigning the
 class of the object, specific EDS methods are made available.</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">&quot;Ni_superalloy_1pix.msa&quot;</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">set_signal_type</span><span class="p">(</span><span class="s2">&quot;EDS_SEM&quot;</span><span class="p">)</span>
@@ -539,14 +539,14 @@ <h3>Loading data<a class="headerlink" href="#loading-data" title="Link to this h
 </pre></div>
 </div>
 <p>You can also specify the signal type as an argument of
-the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.html#hyperspy.api.load" title="(in HyperSpy v2.0rc0)"><code class="xref py py-func docutils literal notranslate"><span class="pre">hyperspy.api.load()</span></code></a> function:</p>
+the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.html#hyperspy.api.load" title="(in HyperSpy v2.0rc2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">hyperspy.api.load()</span></code></a> function:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">&quot;Ni_superalloy_1pix.msa&quot;</span><span class="p">,</span> <span class="n">signal_type</span><span class="o">=</span><span class="s2">&quot;EDS_SEM&quot;</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">s</span>
 <span class="go">&lt;EDSSEMSpectrum, title: Signal1D, dimensions: (|1024)&gt;</span>
 </pre></div>
 </div>
 <p>HyperSpy will automatically load any existing  microscope parameters from the
-file, and store them in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.metadata" title="(in HyperSpy v2.0rc0)"><code class="xref py py-attr docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.metadata</span></code></a>
+file, and store them in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.metadata" title="(in HyperSpy v2.0rc2)"><code class="xref py py-attr docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.metadata</span></code></a>
 attribute (see <a class="reference internal" href="metadata_structure.html#metadata-structure"><span class="std std-ref">exSpy Metadata Structure</span></a>). These parameters can be displayed
 as follows:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">&quot;Ni_superalloy_1pix.msa&quot;</span><span class="p">,</span> <span class="n">signal_type</span><span class="o">=</span><span class="s2">&quot;EDS_SEM&quot;</span><span class="p">)</span>
@@ -587,7 +587,7 @@ <h3>Loading data<a class="headerlink" href="#loading-data" title="Link to this h
 </figure>
 <p>Any microscope and detector parameters that are not found in the imported file
 will be set by default. These default values can be changed in the
-<code class="xref py py-class docutils literal notranslate"><span class="pre">Preferences</span></code> class (see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/basic_usage.html#configuring-hyperspy-label" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">preferences</span></a>).</p>
+<code class="xref py py-class docutils literal notranslate"><span class="pre">Preferences</span></code> class (see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/basic_usage.html#configuring-hyperspy-label" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">preferences</span></a>).</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">exspy</span><span class="o">.</span><span class="n">preferences</span><span class="o">.</span><span class="n">EDS</span><span class="o">.</span><span class="n">eds_detector_elevation</span> <span class="o">=</span> <span class="mi">37</span>
 </pre></div>
 </div>
@@ -606,8 +606,8 @@ <h3>Loading data<a class="headerlink" href="#loading-data" title="Link to this h
 <h3>Energy axis<a class="headerlink" href="#energy-axis" title="Link to this heading">#</a></h3>
 <p>The size, scale and units of the energy axis are automatically imported from
 the imported file, where they exist. These properties can also be set
-or adjusted manually with the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.axes.AxesManager</span></code></a>
-(see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/axes.html#setting-axis-properties" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">Axis properties</span></a> for more info):</p>
+or adjusted manually with the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/base_classes/axes.html#hyperspy.axes.AxesManager" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.axes.AxesManager</span></code></a>
+(see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/axes.html#setting-axis-properties" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">Axis properties</span></a> for more info):</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">si</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">&quot;Ni_superalloy_010.rpl&quot;</span><span class="p">,</span>
 <span class="gp">... </span>             <span class="n">signal_type</span><span class="o">=</span><span class="s2">&quot;EDS_TEM&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">as_signal1D</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">si</span><span class="o">.</span><span class="n">axes_manager</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;E&#39;</span>
@@ -648,7 +648,7 @@ <h3>Copying spectrum calibration<a class="headerlink" href="#copying-spectrum-ca
 <section id="describing-the-sample">
 <span id="eds-sample-label"></span><h2>Describing the sample<a class="headerlink" href="#describing-the-sample" title="Link to this heading">#</a></h2>
 <p>The description of the sample is also stored in the
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.metadata" title="(in HyperSpy v2.0rc0)"><code class="xref py py-attr docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.metadata</span></code></a> attribute. It can be displayed using:</p>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.metadata" title="(in HyperSpy v2.0rc2)"><code class="xref py py-attr docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.metadata</span></code></a> attribute. It can be displayed using:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">exspy</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">EDS_TEM_FePt_nanoparticles</span><span class="p">()</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">add_lines</span><span class="p">()</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">metadata</span><span class="o">.</span><span class="n">Sample</span><span class="o">.</span><span class="n">thickness</span> <span class="o">=</span> <span class="mi">100</span>
@@ -774,7 +774,7 @@ <h3>Finding elements from energy<a class="headerlink" href="#finding-elements-fr
 <span id="eds-plot-label"></span><h2>Plotting<a class="headerlink" href="#plotting" title="Link to this heading">#</a></h2>
 <p>You can visualize an EDS spectrum using the
 <a class="reference internal" href="../reference/signals.html#exspy.signals.EDSSpectrum.plot" title="exspy.signals.EDSSpectrum.plot"><code class="xref py py-meth docutils literal notranslate"><span class="pre">plot()</span></code></a> method (see
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/visualisation.html#visualization-label" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">visualisation</span></a>). For example:</p>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/visualisation.html#visualization-label" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">visualisation</span></a>). For example:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">example_signals</span><span class="o">.</span><span class="n">EDS_SEM_Spectrum</span><span class="p">()</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
 </pre></div>
@@ -786,7 +786,7 @@ <h3>Finding elements from energy<a class="headerlink" href="#finding-elements-fr
 </figcaption>
 </figure>
 <p>An example of multi-dimensional EDS data (e.g. 3D SEM-EDS) is given in
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/visualisation.html#visualization-3d-eds-label" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">visualisation multi-dimension</span></a>.</p>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/visualisation.html#visualization-3d-eds-label" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">visualisation multi-dimension</span></a>.</p>
 <section id="plotting-x-ray-lines">
 <span id="eds-plot-markers-label"></span><h3>Plotting X-ray lines<a class="headerlink" href="#plotting-x-ray-lines" title="Link to this heading">#</a></h3>
 <p>X-ray lines can be added as plot labels with
@@ -846,8 +846,8 @@ <h3>Finding elements from energy<a class="headerlink" href="#finding-elements-fr
 </figcaption>
 </figure>
 <p>The X-ray lines defined in <code class="docutils literal notranslate"><span class="pre">metadata.Sample.Xray_lines</span></code> are used by default.
-The EDS maps can be plotted using <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.plot/index.html#hyperspy.api.plot.plot_images" title="(in HyperSpy v2.0rc0)"><code class="xref py py-func docutils literal notranslate"><span class="pre">hyperspy.api.plot.plot_images()</span></code></a>,
-see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/visualisation.html#plot-images" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">plotting several images</span></a>
+The EDS maps can be plotted using <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.plot/index.html#hyperspy.api.plot.plot_images" title="(in HyperSpy v2.0rc2)"><code class="xref py py-func docutils literal notranslate"><span class="pre">hyperspy.api.plot.plot_images()</span></code></a>,
+see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/visualisation.html#plot-images" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">plotting several images</span></a>
 for more information in setting plotting parameters.</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">hs</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s1">&#39;core_shell.hdf5&#39;</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">metadata</span><span class="o">.</span><span class="n">Sample</span>
@@ -1108,7 +1108,7 @@ <h3>Finding elements from energy<a class="headerlink" href="#finding-elements-fr
 This is a much more accurate approach for quantitative EDS and should be
 used where possible. The pixel width could either be added to the metadata
 by putting the pixel area in as the <code class="docutils literal notranslate"><span class="pre">probe_area</span></code> (above) or by calibrating
-the spectrum image (see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/axes.html#setting-axis-properties" title="(in HyperSpy v2.0rc0)"><span>Setting axis properties</span></a>).</p>
+the spectrum image (see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/axes.html#setting-axis-properties" title="(in HyperSpy v2.0rc2)"><span>Setting axis properties</span></a>).</p>
 <p>Either approach will provide an illumination area for the cross section
 quantification. If the pixel width is not set, the code will still run with the
 default value of 1 nm with a warning message to remind the user that this is
diff --git a/user_guide/eels.html b/user_guide/eels.html
index 4dfdf913d..9ac17072e 100644
--- a/user_guide/eels.html
+++ b/user_guide/eels.html
@@ -476,7 +476,7 @@
 <span id="eels-tools-label"></span><h2>Tools for EELS data analysis<a class="headerlink" href="#tools-for-eels-data-analysis" title="Link to this heading">#</a></h2>
 <p>The functions described in this chapter are only available for the
 <a class="reference internal" href="../reference/signals.html#exspy.signals.EELSSpectrum" title="exspy.signals.EELSSpectrum"><code class="xref py py-class docutils literal notranslate"><span class="pre">EELSSpectrum</span></code></a> class. To transform a
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc0)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a> (or subclass) into an
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal" title="(in HyperSpy v2.0rc2)"><code class="xref py py-class docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal</span></code></a> (or subclass) into an
 <a class="reference internal" href="../reference/signals.html#exspy.signals.EELSSpectrum" title="exspy.signals.EELSSpectrum"><code class="xref py py-class docutils literal notranslate"><span class="pre">EELSSpectrum</span></code></a>:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span><span class="o">.</span><span class="n">set_signal_type</span><span class="p">(</span><span class="s2">&quot;EELS&quot;</span><span class="p">)</span>
 </pre></div>
@@ -491,7 +491,7 @@
 archiving purposes or to use some feature (e.g. curve fitting) that requires
 this information.  The elemental composition of the sample can be declared
 using <a class="reference internal" href="../reference/signals.html#exspy.signals.EELSSpectrum.add_elements" title="exspy.signals.EELSSpectrum.add_elements"><code class="xref py py-meth docutils literal notranslate"><span class="pre">add_elements()</span></code></a>. The
-information is stored in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.metadata" title="(in HyperSpy v2.0rc0)"><code class="xref py py-attr docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.metadata</span></code></a>
+information is stored in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/BaseSignal.html#hyperspy.api.signals.BaseSignal.metadata" title="(in HyperSpy v2.0rc2)"><code class="xref py py-attr docutils literal notranslate"><span class="pre">hyperspy.api.signals.BaseSignal.metadata</span></code></a>
 attribute (see <a class="reference internal" href="metadata_structure.html#metadata-structure"><span class="std std-ref">exSpy Metadata Structure</span></a>). This information is saved to file
 when saving in the hspy format (HyperSpy’s HDF5 specification).</p>
 <p>An utility function <code class="xref py py-meth docutils literal notranslate"><span class="pre">get_edges_near_energy()</span></code> can be
@@ -557,7 +557,7 @@
 estimate the thickness from a low-loss EELS spectrum using the log-ratio
 method. If the beam energy, collection angle, convergence angle and sample
 density are known, the absolute thickness is computed using the method in
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/bibliography.html#iakoubovskii2008" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">[Iakoubovskii2008]</span></a>. This includes the estimation of
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/bibliography.html#iakoubovskii2008" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">[Iakoubovskii2008]</span></a>. This includes the estimation of
 the inelastic mean free path (iMFP). For more accurate results, it is possible
 to input the iMFP of the material if known.  If the density and/or the iMFP are
 not known, the output is the thickness relative to the (unknown) iMFP without
@@ -569,10 +569,10 @@ <h3>Zero-loss peak centre and alignment<a class="headerlink" href="#zero-loss-pe
 <a class="reference internal" href="../reference/signals.html#exspy.signals.EELSSpectrum.estimate_zero_loss_peak_centre" title="exspy.signals.EELSSpectrum.estimate_zero_loss_peak_centre"><code class="xref py py-meth docutils literal notranslate"><span class="pre">estimate_zero_loss_peak_centre()</span></code></a>
 can be used to estimate the position of the zero-loss peak (ZLP). The method assumes
 that the ZLP is the most intense feature in the spectra. For a more general
-approach see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D.find_peaks1D_ohaver" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.Signal1D.find_peaks1D_ohaver()</span></code></a>.</p>
+approach see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D.find_peaks1D_ohaver" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.Signal1D.find_peaks1D_ohaver()</span></code></a>.</p>
 <p>The <a class="reference internal" href="../reference/signals.html#exspy.signals.EELSSpectrum.align_zero_loss_peak" title="exspy.signals.EELSSpectrum.align_zero_loss_peak"><code class="xref py py-meth docutils literal notranslate"><span class="pre">align_zero_loss_peak()</span></code></a> can
 align the ZLP with subpixel accuracy. It is more robust and easy to use for the task
-than <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D.align1D" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.Signal1D.align1D()</span></code></a>. Note that it is
+than <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/api.signals/Signal1D.html#hyperspy.api.signals.Signal1D.align1D" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.api.signals.Signal1D.align1D()</span></code></a>. Note that it is
 possible to apply the same alignment to other spectra using the <code class="docutils literal notranslate"><span class="pre">also_align</span></code>
 argument. This can be useful e.g. to align core-loss spectra acquired
 quasi-simultaneously. If there are other features in the low loss signal
@@ -623,7 +623,7 @@ <h3>Estimate elastic scattering intensity<a class="headerlink" href="#estimate-e
 <span id="eels-fitting"></span><h2>EELS curve fitting<a class="headerlink" href="#eels-curve-fitting" title="Link to this heading">#</a></h2>
 <p>HyperSpy makes it really easy to quantify EELS core-loss spectra by curve
 fitting as it is shown in the next example of quantification of a boron nitride
-EELS spectrum from the <a class="reference external" href="https://eelsdb.eu/">EELS Data Base</a> (see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/io.html#example-data-label" title="(in HyperSpy v2.0rc0)"><span>Loading example data and data from online databases</span></a>).</p>
+EELS spectrum from the <a class="reference external" href="https://eelsdb.eu/">EELS Data Base</a> (see <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/io.html#example-data-label" title="(in HyperSpy v2.0rc2)"><span>Loading example data and data from online databases</span></a>).</p>
 <p>Load the core-loss and low-loss spectra</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">s</span> <span class="o">=</span> <span class="n">exspy</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">eelsdb</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;Hexagonal Boron Nitride&quot;</span><span class="p">,</span>
 <span class="gp">... </span>                      <span class="n">spectrum_type</span><span class="o">=</span><span class="s2">&quot;coreloss&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
diff --git a/user_guide/install.html b/user_guide/install.html
index 214d5fb27..1974079da 100644
--- a/user_guide/install.html
+++ b/user_guide/install.html
@@ -486,7 +486,7 @@ <h1>Installation<a class="headerlink" href="#installation" title="Link to this h
 <li><p><a class="reference internal" href="#conda"><span class="std std-ref">Installation using conda</span></a> (recommended if you are also working with other <em>python</em> packages).</p></li>
 <li><p><a class="reference internal" href="#pip"><span class="std std-ref">Installation using pip</span></a>.</p></li>
 <li><p>Installing the development version from <a class="reference external" href="https://github.com/hyperspy/exspy/">GitHub</a>.
-Refer to the appropriate section in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/install.html#install-dev" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy user guide</span></a> (replacing <code class="docutils literal notranslate"><span class="pre">hyperspy</span></code> by <code class="docutils literal notranslate"><span class="pre">exSpy</span></code>).</p></li>
+Refer to the appropriate section in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/install.html#install-dev" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy user guide</span></a> (replacing <code class="docutils literal notranslate"><span class="pre">hyperspy</span></code> by <code class="docutils literal notranslate"><span class="pre">exSpy</span></code>).</p></li>
 </ol>
 <section id="installation-using-conda">
 <span id="conda"></span><h2>Installation using conda<a class="headerlink" href="#installation-using-conda" title="Link to this heading">#</a></h2>
@@ -496,7 +496,7 @@ <h3>1. Creating a conda environment<a class="headerlink" href="#creating-a-conda
 <p>exSpy requires Python 3 and <code class="docutils literal notranslate"><span class="pre">conda</span></code> – we suggest using the Python 3 version
 of <a class="reference external" href="https://conda-forge.org/miniforge/">Miniforge</a>.</p>
 <p>We recommend creating a new environment for the exSpy package (or installing
-it in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/install.html#anaconda-install" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy</span></a>
+it in the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/install.html#anaconda-install" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy</span></a>
 environment, if you have one already). To create a new environment:</p>
 <ol class="arabic simple">
 <li><p>Load the miniforge prompt.</p></li>
@@ -518,7 +518,7 @@ <h3>2. Installing the package in the new environment<a class="headerlink" href="
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>If you run into trouble, check the more detailed documentation in the
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/install.html#anaconda-install" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy user guide</span></a>.</p>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/user_guide/install.html#anaconda-install" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy user guide</span></a>.</p>
 </div>
 </section>
 <section id="getting-started">
diff --git a/user_guide/metadata_structure.html b/user_guide/metadata_structure.html
index d3ce2c667..05855ed12 100644
--- a/user_guide/metadata_structure.html
+++ b/user_guide/metadata_structure.html
@@ -472,9 +472,9 @@
                   
   <section id="exspy-metadata-structure">
 <span id="metadata-structure"></span><h1>exSpy Metadata Structure<a class="headerlink" href="#exspy-metadata-structure" title="Link to this heading">#</a></h1>
-<p><strong>exSpy</strong> extends the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#metadata-structure" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy metadata structure</span></a>
+<p><strong>exSpy</strong> extends the <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#metadata-structure" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy metadata structure</span></a>
 with conventions for metadata specific to its signal types. Refer to the
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#metadata-structure" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy metadata documentation</span></a>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#metadata-structure" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy metadata documentation</span></a>
 for general metadata fields.</p>
 <p>The metadata of any <strong>signal objects</strong> is stored in the <code class="docutils literal notranslate"><span class="pre">metadata</span></code> attribute,
 which has a tree structure. By convention, the node labels are capitalized and
@@ -483,9 +483,9 @@
 label followed by the <code class="docutils literal notranslate"><span class="pre">_units</span></code> suffix.</p>
 <p>Besides directly accessing the metadata tree structure, e.g.
 <code class="docutils literal notranslate"><span class="pre">s.metadata.Signal.signal_type</span></code>, the HyperSpy methods
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.utils.DictionaryTreeBrowser.set_item" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.misc.utils.DictionaryTreeBrowser.set_item()</span></code></a>,
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.utils.DictionaryTreeBrowser.has_item" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.misc.utils.DictionaryTreeBrowser.has_item()</span></code></a> and
-<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.utils.DictionaryTreeBrowser.get_item" title="(in HyperSpy v2.0rc0)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.misc.utils.DictionaryTreeBrowser.get_item()</span></code></a>
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.utils.DictionaryTreeBrowser.set_item" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.misc.utils.DictionaryTreeBrowser.set_item()</span></code></a>,
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.utils.DictionaryTreeBrowser.has_item" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.misc.utils.DictionaryTreeBrowser.has_item()</span></code></a> and
+<a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/utils/index.html#hyperspy.misc.utils.DictionaryTreeBrowser.get_item" title="(in HyperSpy v2.0rc2)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">hyperspy.misc.utils.DictionaryTreeBrowser.get_item()</span></code></a>
 can be used to add to, search for and read from items in the metadata tree,
 respectively.</p>
 <p>The EELS of EDS specific metadata structure is represented in the following
@@ -560,7 +560,7 @@
 </div>
 <section id="general">
 <h2>General<a class="headerlink" href="#general" title="Link to this heading">#</a></h2>
-<p>See <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#general-metadata" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy-Metadata-General</span></a>.</p>
+<p>See <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#general-metadata" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy-Metadata-General</span></a>.</p>
 </section>
 <section id="sample">
 <h2>Sample<a class="headerlink" href="#sample" title="Link to this heading">#</a></h2>
@@ -575,7 +575,7 @@ <h2>Sample<a class="headerlink" href="#sample" title="Link to this heading">#</a
 and the L beta line of Nickel.</p>
 </dd>
 </dl>
-<p>See also <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#sample-metadata" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy-Metadata-Sample</span></a>.</p>
+<p>See also <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#sample-metadata" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy-Metadata-Sample</span></a>.</p>
 </section>
 <section id="signal">
 <h2>Signal<a class="headerlink" href="#signal" title="Link to this heading">#</a></h2>
@@ -585,7 +585,7 @@ <h2>Signal<a class="headerlink" href="#signal" title="Link to this heading">#</a
 specific signal class is <code class="docutils literal notranslate"><span class="pre">EELS</span></code>, <code class="docutils literal notranslate"><span class="pre">EDS</span></code>, <code class="docutils literal notranslate"><span class="pre">EDS_SEM</span></code> or <code class="docutils literal notranslate"><span class="pre">EDS_TEM</span></code>.</p>
 </dd>
 </dl>
-<p>See also <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#signal-metadata" title="(in HyperSpy v2.0rc0)"><span class="xref std std-ref">HyperSpy-Metadata-Sample</span></a>.</p>
+<p>See also <a class="reference external" href="https://hyperspy.org/hyperspy-doc/dev/reference/metadata.html#signal-metadata" title="(in HyperSpy v2.0rc2)"><span class="xref std std-ref">HyperSpy-Metadata-Sample</span></a>.</p>
 </section>
 <section id="acquisition-instrument">
 <span id="source-metadata"></span><h2>Acquisition_instrument<a class="headerlink" href="#acquisition-instrument" title="Link to this heading">#</a></h2>