Manual extraction of JWST NIRSpec MSA spectra directly from the telescope exposures
Project description
msaexp
Tools for extracting JWST NIRSpec MSA spectra directly from the telescope exposures
Under heavy construction….
Documentation
Documentation will be here: https://msaexp.readthedocs.io/, though it’s essentially just the module API for now.
The overall procedure is demonstrated in these notebooks:
spectral-pipeline-2024.ipynb: Run the pipeline from scratch on an example dataset from GO-4233 (RUBIES)
spectral-extractions-2024.ipynb: Brief demo of some fitting applications to the reduced spectra
- Try running the 2024 demo notebooks directly on GitHub in a Codespace:
Fork the repository from https://github.com/gbrammer/msaexp
“<> Code” pulldown > “Codespaces” > “+” to start the codespace
Wait for the initialization to complete
Navigate to the “docs/examples/” directory in the codespace
Open “spectral-pipeline-2024.ipynb” and run it
Commit to your forked repository any changes to the notebook itself or files created that you want to save outside the codespace
Profit!
The notebooks below use some of the older deprecated methodolgy for spectral combination and extraction:
drizzled-nirspec.ipynb: Demo of new drizzling and combination code (0.6.0) with prism data from JWST program GO-1433 (PI: Dan Coe)
process-rxj2129.ipynb: Demo with prism data from JWST program DD-2767 (PI: Pat Kelly)
process-smacs0723.ipynb: Demo with medium resolution data from the JWST ERO-2736 program on the cluster SMACS-0723 (PI: Klaus Pontoppidon)
Extracted spectra from public datasets
Browsable table: https://s3.amazonaws.com/msaexp-nirspec/extractions/nirspec_graded.html
Full catalog: https://s3.amazonaws.com/msaexp-nirspec/extractions/nirspec_graded_v0.ecsv
Updated and additional extractions (2024-Feb): https://s3.amazonaws.com/msaexp-nirspec/extractions/nirspec_graded_v2.html (Though see https://github.com/gbrammer/msaexp/pull/54)
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