This repository contains downloadable versions of several HST/ACS webpages with basic Python examples. These code examples are simple and only designed for a limited scope. Users are advised to visit the ACS website, Instrument Handbook, and Data Handbook for more information about the the current status of ACS, instrument specifications, and data analysis. Before running these examples, you must install or update to the latest version of AstroConda.
Users who need help transitioning from IRAF/PyRAF to Python should see the stak-notebooks repository.
For examples of workflows with HST data, please see the CSI notebooks repository (coming soon).
To download the notebooks in this repository, simply open a terminal, go to the directory where you would like the notebooks to be, and type
git clone https://github.com/spacetelescope/acs-notebook.git
which will create a new acs-notebook/ directory containing the contents of this repository.
Jupyter Notebooks allow code to be packaged with formatted text to create illustrative examples. Users who are unfamiliar with Jupyter Notebooks should also see the short guide for how to use these tools.
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acs_zeropoints.ipynb: A description of the ACS photometric systems, header keywords, and topics related to photometrically calibrating ACS data.
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acs_subarray_cte.ipynb: Instructions for how to use the
acs_destripe_pluscode to calibrate, de-stripe, and correct ACS subarray observations for charge transfer efficiency (CTE).
If you have feedback concerning our documentation or examples presented here on GitHub, please open an issue. For feedback about content exclusively from the ACS website, Instrument Handbook, or Data Handbook, or for questions about the ACS instrument or data, please contact the ACS Branch at STScI via the Hubble Space Telescope Help Desk portal.