COS Walkthrough Notebooks
The Cosmic Origins Spectrograph (COS) team has created a series of interactive Jupyter Notebooks to walk users through common procedures for working with COS data products. These notebooks are intended for COS users of any experience level. We encourage you to use them, adapt them, and share them with your peers, colleagues, and students.
They can be accessed through the spacetelescope/hst_notebooks GitHub repository in the subdirectory notebooks/COS, as well as in the table below of currently operational notebooks.
Please visit the COS Notebooks website for additional details on installation, setup, and updates.
You can also view our iPoster from the 238th conference of the AAS.
Currently Operational Notebooks
| Name | Topic |
Notebook File (ipynb) |
Rendered File (HTML) |
|---|---|---|---|
| Setup | Setting up your computer environment to work with COS data | Setup.ipynb | Setup.html |
| DataDI | Downloading COS Data from the archive | DataDI.ipynb | DataDI.html |
| ViewData | Beginning to work with COS data in Python: plotting, binning, calculating SNR, & evaluating a spectrum | ViewData.ipynb | ViewData.html |
| AsnFile | Modifying or creating an association file | AsnFile.ipynb | AsnFile.html |
| CalCOS | Running the COS pipeline (CalCOS) | CalCOS.ipynb | CalCOS.html |
|
SplitTag |
Breaking COS TIME-TAG data into multiple sub-exposures | SplitTag.ipynb | |
| DayNight | Filtering out COS data taken during the day or night | DayNight.ipynb | DayNight.html |
| LSF | Working with the COS Line Spread Function (LSF) | LSF.ipynb | LSF.html |
| Extract | Editing the extraction boxes in a BOXCAR-method spectral extraction file (XTRACTAB) | Extract.ipynb | Extract.html |