magnetosphericswcx

Code used to produce the results in a publication on separating out the magnetospheric SWCX X-ray spectral contribution in astrophysical observations of dark fields.

https://github.com/rebeccaringuette/magnetosphericswcx

Science Score: 67.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Code used to produce the results in a publication on separating out the magnetospheric SWCX X-ray spectral contribution in astrophysical observations of dark fields.

Basic Info
  • Host: GitHub
  • Owner: rebeccaringuette
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 1.29 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

MagnetosphericSWCX

DOI

This repository contains the code used to produce the results in a publication separating out the magnetospheric SWCX X-ray spectral contribution in astrophysical observations of dark fields. The final codes used to produce the publication results are in the PaperAnalysisCode directory, while most of the code iterations along the way are included in the OlderVersions directory. These codes include PyXSPEC code (.py files), XSPEC scripts (.xcm files) and other input files (e.g. the predicted heliospheric SWCX line intensities and the arf/rmfs used). All python code was written in python 2.7.15, and all XSPEC code was written using XSPEC 12.11.1. A few example input files are included in the ExampleData directory, and the spreadsheets produced by the scripts are included in the Results directory. Please see the associated publication for official results. If you have questions or would like to collaborate, please feel free to create an issue to get my attention.

For historical purposes, the codes used to perform the analysis of the heliospheric SWCX published in Ringuette et al. (2021) are also included in the 'HSWCXPaperCode' and 'HSWCXOlderCode' directories, which have similar code types. The 2021 publication is accessible at https://doi.org/10.3847/1538-4357/ac0e33.

Please cite this repository as:
Ringuette, R. (2023). Magnetospheric SWCX. Zenodo. https://www.doi.org/10.5281/zenodo.8252998

Owner

  • Login: rebeccaringuette
  • Kind: user
  • Company: Community Coordinated Modeling Center / ADNET Systems Inc

Citation (Citation.cff)

abstract: <p>Code used to produce the results in a publication on separating out the
  magnetospheric SWCX X-ray spectral contribution in astrophysical observations of
  dark fields.</p>
authors:
- affiliation: Heliophysics Digital Resource Library / ADNET Systems Inc
  family-names: Ringuette
  given-names: Rebecca
  orcid: 0000-0003-0875-2023
cff-version: 1.2.0
date-released: '2023-08-16'
doi: 10.5281/zenodo.8253002
keywords:
- Heliophysics
- Solar Wind
- Charge Exchange
- Heliosphere
- Magnetosphere
- csv
- analysis
license:
- apache-2.0
repository-code: https://github.com/rebeccaringuette/MagnetosphericSWCX/tree/MSWCX
title: 'rebeccaringuette/MagnetosphericSWCX: PublicationCode_v1.0'
type: software
version: MSWCX

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