diff --git a/.buildinfo b/.buildinfo index 728b7558f..aceb4483b 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: eef295864db9395f3fb5d817a2bebf99 +config: a94e16e265dd045700d0d247d83d6549 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 59b1d7986..437ee5040 100644 Binary files a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip and b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip differ diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip index 076942b4a..fc0a6f01c 100644 Binary files a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip and b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ diff --git a/_images/sphx_glr_simple_arctan_fit_001.png b/_images/sphx_glr_simple_arctan_fit_001.png index 8f8fec03f..7dede1b2f 100644 Binary files a/_images/sphx_glr_simple_arctan_fit_001.png and b/_images/sphx_glr_simple_arctan_fit_001.png differ diff --git a/_images/sphx_glr_simple_arctan_fit_thumb.png b/_images/sphx_glr_simple_arctan_fit_thumb.png index e19e35fc8..4ffa4ad50 100644 Binary files a/_images/sphx_glr_simple_arctan_fit_thumb.png and b/_images/sphx_glr_simple_arctan_fit_thumb.png differ 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 cc83280e5..3340cc911 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 - 0%| | 0.00/42.3M [00:00 + Exception ignored in: Traceback (most recent call last): File "/opt/hostedtoolcache/Python/3.11.6/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>> m.components.B_K +.. _eels.GOS: + Generalised Oscillator Strengths ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Fitting EELS edges requires a model for the so-called *Generalised Oscillator @@ -385,7 +387,7 @@ edge functionalities: * :py:meth:`~.models.EELSModel.fix_fine_structure` * :py:meth:`~.models.EELSModel.free_fine_structure` - +.. _eels.fine_structure: Fine structure analysis ^^^^^^^^^^^^^^^^^^^^^^^ @@ -476,9 +478,6 @@ structure width. It is possible to suspend this feature by calling To resume it use :py:meth:`~.models.EELSModel.suspend_auto_fine_structure_width` -.. versionadded:: 2.0 - Fine structure analysis - Fine structure analysis """"""""""""""""""""""" diff --git a/auto_examples/model_fitting/EELS_curve_fitting.html b/auto_examples/model_fitting/EELS_curve_fitting.html index a9fffcaa3..5117241f9 100644 --- a/auto_examples/model_fitting/EELS_curve_fitting.html +++ b/auto_examples/model_fitting/EELS_curve_fitting.html @@ -475,33 +475,28 @@

Performs curve fitting to an EELS spectrum, plots the result and saves it as png file.

coreloss_spectrum Signal
  0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
-  0%|                                      | 18.4k/42.3M [00:00<06:01, 117kB/s]
-  0%|                                      | 57.3k/42.3M [00:00<03:39, 192kB/s]
-  0%|                                       | 133k/42.3M [00:00<02:10, 322kB/s]
-  1%|▎                                      | 293k/42.3M [00:00<01:10, 591kB/s]
-  1%|▌                                     | 616k/42.3M [00:00<00:37, 1.11MB/s]
-  3%|█                                    | 1.25M/42.3M [00:00<00:19, 2.10MB/s]
-  6%|██▏                                  | 2.53M/42.3M [00:01<00:09, 4.03MB/s]
- 12%|████▍                                | 5.09M/42.3M [00:01<00:04, 7.87MB/s]
- 16%|██████                               | 6.97M/42.3M [00:01<00:03, 9.10MB/s]
- 22%|████████                             | 9.23M/42.3M [00:01<00:03, 10.7MB/s]
- 27%|█████████▊                           | 11.3M/42.3M [00:01<00:02, 11.4MB/s]
- 32%|███████████▊                         | 13.5M/42.3M [00:01<00:02, 12.2MB/s]
- 37%|█████████████▋                       | 15.6M/42.3M [00:02<00:02, 12.5MB/s]
- 42%|███████████████▌                     | 17.8M/42.3M [00:02<00:01, 12.8MB/s]
- 47%|█████████████████▍                   | 19.9M/42.3M [00:02<00:01, 13.0MB/s]
- 52%|███████████████████▎                 | 22.1M/42.3M [00:02<00:01, 13.2MB/s]
- 57%|█████████████████████▏               | 24.2M/42.3M [00:02<00:01, 13.2MB/s]
- 62%|███████████████████████              | 26.4M/42.3M [00:02<00:01, 13.3MB/s]
- 67%|████████████████████████▉            | 28.5M/42.3M [00:03<00:01, 13.4MB/s]
- 73%|██████████████████████████▊          | 30.7M/42.3M [00:03<00:00, 13.4MB/s]
- 78%|████████████████████████████▋        | 32.8M/42.3M [00:03<00:00, 13.4MB/s]
- 83%|██████████████████████████████▌      | 34.9M/42.3M [00:03<00:00, 13.4MB/s]
- 88%|████████████████████████████████▍    | 37.1M/42.3M [00:03<00:00, 13.5MB/s]
- 93%|██████████████████████████████████▎  | 39.2M/42.3M [00:03<00:00, 13.4MB/s]
- 98%|████████████████████████████████████▏| 41.3M/42.3M [00:03<00:00, 13.3MB/s]
+  0%|                                      | 41.0k/42.3M [00:00<03:15, 217kB/s]
+  0%|                                       | 119k/42.3M [00:00<02:07, 330kB/s]
+  1%|▍                                      | 409k/42.3M [00:00<00:47, 877kB/s]
+  3%|▉                                    | 1.11M/42.3M [00:00<00:16, 2.45MB/s]
+  5%|██                                   | 2.31M/42.3M [00:00<00:07, 5.00MB/s]
+ 10%|███▊                                 | 4.35M/42.3M [00:00<00:04, 9.26MB/s]
+ 17%|██████▎                              | 7.15M/42.3M [00:00<00:02, 14.6MB/s]
+ 23%|████████▎                            | 9.56M/42.3M [00:01<00:01, 17.3MB/s]
+ 28%|██████████▌                          | 12.0M/42.3M [00:01<00:01, 16.3MB/s]
+ 35%|████████████▊                        | 14.6M/42.3M [00:01<00:01, 18.8MB/s]
+ 41%|███████████████                      | 17.1M/42.3M [00:01<00:01, 20.5MB/s]
+ 47%|█████████████████▎                   | 19.8M/42.3M [00:01<00:01, 22.2MB/s]
+ 53%|███████████████████▌                 | 22.3M/42.3M [00:01<00:00, 23.1MB/s]
+ 59%|█████████████████████▉               | 25.0M/42.3M [00:01<00:00, 24.1MB/s]
+ 65%|████████████████████████             | 27.5M/42.3M [00:01<00:00, 20.3MB/s]
+ 72%|██████████████████████████▋          | 30.4M/42.3M [00:02<00:00, 22.8MB/s]
+ 79%|█████████████████████████████        | 33.3M/42.3M [00:02<00:00, 24.2MB/s]
+ 86%|███████████████████████████████▋     | 36.2M/42.3M [00:02<00:00, 25.7MB/s]
+ 93%|██████████████████████████████████▏  | 39.1M/42.3M [00:02<00:00, 26.6MB/s]
+100%|████████████████████████████████████▊| 42.1M/42.3M [00:02<00:00, 27.5MB/s]
   0%|                                              | 0.00/42.3M [00:00<?, ?B/s]
-100%|██████████████████████████████████████| 42.3M/42.3M [00:00<00:00, 175GB/s]
+100%|██████████████████████████████████████| 42.3M/42.3M [00:00<00:00, 297GB/s]
 
@@ -523,7 +518,7 @@ m.plot()
-

Total running time of the script: (0 minutes 12.474 seconds)

+

Total running time of the script: (0 minutes 8.389 seconds)