Skip to main content

Manual extraction of JWST NIRSpec MSA spectra directly from the telescope exposures

Project description

https://github.com/gbrammer/msaexp/actions/workflows/python-package.yml/badge.svg https://badge.fury.io/py/msaexp.svg https://zenodo.org/badge/DOI/10.5281/zenodo.7579050.svg Documentation Status

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:

Try running the 2024 demo notebooks directly on GitHub in a Codespace:
  1. Fork the repository from https://github.com/gbrammer/msaexp

  2. “<> Code” pulldown > “Codespaces” > “+” to start the codespace

  3. Wait for the initialization to complete

  4. Navigate to the “docs/examples/” directory in the codespace

  5. Open “spectral-pipeline-2024.ipynb” and run it

  6. Commit to your forked repository any changes to the notebook itself or files created that you want to save outside the codespace

  7. Profit!

The notebooks below use some of the older deprecated methodolgy for spectral combination and extraction:

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

msaexp-0.9.17.tar.gz (62.3 MB view details)

Uploaded Source

File details

Details for the file msaexp-0.9.17.tar.gz.

File metadata

  • Download URL: msaexp-0.9.17.tar.gz
  • Upload date:
  • Size: 62.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for msaexp-0.9.17.tar.gz
Algorithm Hash digest
SHA256 74ba32bf85d343f36068bd9cf8d8db7bfcb55f25fcc5b485a3503c95ca9d76be
MD5 2d67a76acd0a23e031189cd95e07cce0
BLAKE2b-256 dfea9c82f09c7fb0f1842030db9c3bb5e66490e8c9b0c67329d0a17fbd1d861a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page