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msaexp

Manual extraction of JWST NIRSpec spectra

https://github.com/gbrammer/msaexp

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    .zenodo.json file
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    DOI references
    Found 3 DOI reference(s) in README
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    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Manual extraction of JWST NIRSpec spectra

Basic Info
  • Host: GitHub
  • Owner: gbrammer
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 130 MB
Statistics
  • Stars: 32
  • Watchers: 4
  • Forks: 34
  • Open Issues: 14
  • Releases: 60
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Citation

README.rst 

.. image:: https://github.com/gbrammer/msaexp/actions/workflows/python-package.yml/badge.svg
    :target: https://github.com/gbrammer/msaexp/actions

.. image:: https://badge.fury.io/py/msaexp.svg
    :target: https://badge.fury.io/py/msaexp
    
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7579050.svg
   :target: https://doi.org/10.5281/zenodo.7579050
   
.. image:: https://readthedocs.org/projects/msaexp/badge/?version=latest
    :target: https://msaexp.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status
    
`msaexp`
===================================================================================
Tools for extracting JWST NIRSpec MSA spectra directly from the telescope exposures

Under heavy construction....

.. note::
    Please submit any questions/comments/problems you have through the `Issues `_ interface.

~~~~~~~~~~~~~
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: 
  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:

- `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)

Owner

  • Name: Gabe Brammer
  • Login: gbrammer
  • Kind: user
  • Company: University of Copenhagen

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Please cite this software using these metadata."
authors:
- family-names: "Brammer"
  given-names: "Gabriel"
  orcid: "https://orcid.org/0000-0003-2680-0055"
title: "msaexp: NIRSpec analyis tools"
version: 0.3
doi: 10.5281/zenodo.7299500
date-released: 2022-11-07
url: "https://github.com/gbrammer/msaexp"

GitHub Events

Total
  • Create event: 17
  • Issues event: 4
  • Release event: 8
  • Watch event: 6
  • Delete event: 4
  • Issue comment event: 21
  • Push event: 98
  • Pull request event: 22
  • Fork event: 5
Last Year
  • Create event: 17
  • Issues event: 4
  • Release event: 8
  • Watch event: 6
  • Delete event: 4
  • Issue comment event: 21
  • Push event: 98
  • Pull request event: 22
  • Fork event: 5

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 136
  • Total Committers: 1
  • Avg Commits per committer: 136.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Gabriel Brammer g****r@g****m 136

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 21
  • Total pull requests: 76
  • Average time to close issues: 5 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 10
  • Total pull request authors: 5
  • Average comments per issue: 0.81
  • Average comments per pull request: 0.67
  • Merged pull requests: 65
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 16
  • Average time to close issues: 5 days
  • Average time to close pull requests: 5 days
  • Issue authors: 4
  • Pull request authors: 1
  • Average comments per issue: 0.5
  • Average comments per pull request: 1.19
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • themiyan (5)
  • gbrammer (5)
  • ivolabbe (1)
  • LenaPless (1)
  • BearBearCodes (1)
  • VasilyKokorev (1)
  • STUDY200 (1)
  • annalisacitro2 (1)
  • guidorb (1)
  • chisholmjohn (1)
  • fmvalentino (1)
Pull Request Authors
  • gbrammer (89)
  • KostasValeckas (9)
  • albertfxwang (3)
  • sedonaprice (2)
  • VasilyKokorev (1)
Top Labels
Issue Labels
enhancement (3) bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 410 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 55
  • Total maintainers: 1
pypi.org: msaexp

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

  • Versions: 55
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 410 Last month
Rankings
Dependent packages count: 6.6%
Downloads: 12.1%
Forks count: 15.7%
Average: 16.7%
Stargazers count: 18.6%
Dependent repos count: 30.6%
Maintainers (1)
gbrammer
Last synced: 6 months ago

Dependencies

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.github/workflows/python-package.yml actions
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docs/requirements.txt pypi
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  • docutils <0.18
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pyproject.toml pypi
setup.py pypi