popkinmocks

popkinmocks: mock IFU datacubes for modelling stellar populations and kinematics - Published in JOSS (2023)

https://github.com/prashjet/popkinmocks

Science Score: 95.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

astronomy astrophysics datacube galaxy python spectroscopy stellar-kinematics stellar-populations

Scientific Fields

Mathematics Computer Science - 37% confidence
Last synced: 4 months ago · JSON representation

Repository

Create mock IFU datacubes for stellar population and kinematic modelling.

Basic Info
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 1
  • Open Issues: 13
  • Releases: 3
Topics
astronomy astrophysics datacube galaxy python spectroscopy stellar-kinematics stellar-populations
Created about 4 years ago · Last pushed 8 months ago
Metadata Files
Readme License

README.md

Build Status codecov Code style: black Documentation Status status

popkinmocks

popkinmocks is a toolkit to create models of the stellar content of galaxies and produce mock observations of Integral Field Unit (IFU) datacubes.

Read the full documentation at popkinmocks.readthedocs.io

Installation

Install from source by

git clone https://github.com/prashjet/popkinmocks.git cd popkinmocks python -m pip install -e .

Usage

Check out the user guide and API docs on the docs page for example usage and much more info.

Contributing

All types of community contributions are very welcome! Please check the contribution page for more information.

Owner

  • Name: Prashin Jethwa
  • Login: prashjet
  • Kind: user
  • Location: Vienna
  • Company: Institute for Astrophysics, Uni. Vienna

JOSS Publication

popkinmocks: mock IFU datacubes for modelling stellar populations and kinematics
Published
May 05, 2023
Volume 8, Issue 85, Page 5225
Authors
Prashin Jethwa ORCID
Department of Astrophysics, University of Vienna, Türkenschanzstraße 17, A-1180 Vienna, Austria
Editor
Paul La Plante ORCID
Tags
astronomy spectroscopy stellar-populations stellar-kinematics

GitHub Events

Total
  • Watch event: 1
  • Push event: 2
Last Year
  • Watch event: 1
  • Push event: 2

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 86
  • Total Committers: 3
  • Avg Commits per committer: 28.667
  • Development Distribution Score (DDS): 0.023
Past Year
  • Commits: 2
  • Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Prashin Jethwa p****a@u****t 84
Dan Foreman-Mackey d****m@d****o 1
Christine Ackerl 3****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 34
  • Total pull requests: 54
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 1 day
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 0.32
  • Average comments per pull request: 0.22
  • Merged pull requests: 53
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • prashjet (28)
  • Jammy2211 (3)
  • apoudel2014 (2)
  • margitschmid123 (1)
Pull Request Authors
  • prashjet (52)
  • Chia-vie (1)
  • dfm (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • astropy *
  • dill *
  • matplotlib *
  • numpy *
  • scipy *
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.github/workflows/workflow_to_main_.yml actions
  • actions/checkout v3 composite
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setup.py pypi