Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Force HTML update to pages fixed in PRs 202 and 203. #205

Merged
merged 5 commits into from
Feb 20, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
"\n",
"However, accurate relative photometry can be obtained as long as a large enough aperture is selected to contain the spilled flux ([ACS ISR 2004-01](http://www.stsci.edu/files/live/sites/www/files/home/hst/instrumentation/acs/documentation/instrument-science-reports-isrs/_documents/isr0401.pdf)). While one could simply use a larger circular aperture, that may introduce error when working with a crowded field (where bright stars are often located).\n",
"\n",
"Here we present a method to identify and perform photometry on saturated sources by defining a custom aperture that is a combination of a standard 0.5\" arcsecond circular aperture and the pixels affected by saturation trails. This method has been tested on ACS/WFC observations of 47 Tuc in the F606W band. The plot below shows the results of using this alternative method to recover flux.\n",
"Here we present a method to identify and perform photometry on saturated sources by defining a custom aperture that is a combination of a standard 0.5\" arcsecond circular aperture and the pixels affected by saturation trails. This method has been tested on ACS/WFC observations of 47 Tuc in the F606W band. The plot below shows the results of using this alternative method to recover flux. \n",
"\n",
"<img src=photometry_recovery.png width =\"900\" title=\"\" alt=\"\">\n",
"\n",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@
"\n",
"This notebook has been prepared as a demo on how to perform aperture photometry in SBC images that contain an elevated dark rate. This problem arises when the detector temperature goes above ~25 ºC. \n",
"\n",
"More information on the dark rate can be found in [ISR ACS 2017-04](http://www.stsci.edu/files/live/sites/www/files/home/hst/instrumentation/acs/documentation/instrument-science-reports-isrs/_documents/isr1704.pdf) (Avila 2017).\n",
"More information on the dark rate can be found in [ISR ACS 2017-04](http://www.stsci.edu/files/live/sites/www/files/home/hst/instrumentation/acs/documentation/instrument-science-reports-isrs/_documents/isr1704.pdf) (Avila 2017). \n",
"\n",
"### This tutorial will show you how to...\n",
"\n",
Expand Down Expand Up @@ -767,7 +767,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.8.12"
}
},
"nbformat": 4,
Expand Down
4 changes: 2 additions & 2 deletions notebooks/ACS/acs_subarrays/acs_subarrays.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@
"#### 1. [Post-SM4 Subarray Data](#_postsm4) \n",
"\n",
"* Update header keywords.\n",
"* Clean Subarray images with the option to correct CTE losses.\n",
"* Clean Subarray images with the option to correct CTE losses. \n",
"* Update WCS solution.\n",
"\n",
"#### 2. [Custom Subarray Data](#_custom)\n",
Expand Down Expand Up @@ -766,7 +766,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.8.12"
}
},
"nbformat": 4,
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
"- Display the data.\n",
"- Investigate data quality & check for anomalies.\n",
"- Inspect JIF (jitter/observing log) header keywords for problems.\n",
"- Determine if a HOPR is warranted.\n",
"- Determine if a HOPR is warranted. \n",
"\n",
"## Table of Contents\n",
"\n",
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
"By the end of this tutorial, you will: \n",
"- Compute aperture photometry on FLC frames acquired at three unique epochs and apply the new time-dependent inverse sensitivity (PHOTFLAM) keywords.\n",
"- Recompute aperture photometry on modified FLC frames with 'equalized' countrate values.\n",
"- Redrizzle the 'equalized' FLC frames and compute aperture photometry on the DRC products.\n",
"- Redrizzle the 'equalized' FLC frames and compute aperture photometry on the DRC products. \n",
"\n",
"## Table of Contents\n",
"[Introduction](#intro) <br>\n",
Expand Down Expand Up @@ -691,7 +691,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.6"
"version": "3.8.12"
}
},
"nbformat": 4,
Expand Down
Loading