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coronagraph

coronagraph: Telescope Noise Modeling for Exoplanets in Python - Published in JOSS (2019)

https://github.com/jlustigy/coronagraph

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 5 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ✓
    Committers with academic emails
    2 of 3 committers (66.7%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

astronomy coronagraph exoplanets spectroscopy

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

A Python noise model for directly imaging exoplanets

Basic Info
  • Host: GitHub
  • Owner: jlustigy
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 58.6 MB
Statistics
  • Stars: 6
  • Watchers: 7
  • Forks: 8
  • Open Issues: 4
  • Releases: 1
Topics
astronomy coronagraph exoplanets spectroscopy
Created about 10 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md


A Python noise model for directly imaging exoplanets with coronagraph equipped telescopes.

Documentation

Please refer to the code documentation for examples, API, and more.

Installation

The simplest option is to install using pip:

bash pip install coronagraph

Users may also clone the repository on Github:

bash git clone https://github.com/jlustigy/coronagraph.git cd coronagraph python setup.py

Citation

If you use this model in your own research please cite Robinson, Stapelfeldt & Marley (2016) and Lustig-Yaeger, Robinson & Arney (2019).

@article{Lustig2019coronagraph, journal = {Journal of Open Source Software}, doi = {10.21105/joss.01387}, issn = {2475-9066}, number = {40}, publisher = {The Open Journal}, title = {coronagraph: Telescope Noise Modeling for Exoplanets in Python}, url = {http://dx.doi.org/10.21105/joss.01387}, volume = {4}, author = {Lustig-Yaeger, Jacob and Robinson, Tyler D. and Arney, Giada}, pages = {1387}, date = {2019-08-23}, year = {2019}, month = {8}, day = {23}, }

Owner

  • Name: Jacob Lustig-Yaeger
  • Login: jlustigy
  • Kind: user
  • Location: Laurel, MD
  • Company: Johns Hopkins University Applied Physics Laboratory

Rocky exoplanet atmospheres and how to best detect and characterize them

JOSS Publication

coronagraph: Telescope Noise Modeling for Exoplanets in Python
Published
August 23, 2019
DOI
Volume 4, Issue 40, Page 1387
Authors
Jacob Lustig-Yaeger ORCID
University of Washington
Tyler D. Robinson ORCID
Northern Arizona University
Giada Arney ORCID
NASA Goddard Space Flight Center
Editor
Arfon Smith ORCID
Tags
Astronomy Exoplanets Telescopes
View PDF Review Thread Software Archive

GitHub Events

Total
  • Push event: 6
  • Pull request event: 2
Last Year
  • Push event: 6
  • Pull request event: 2

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 239
  • Total Committers: 3
  • Avg Commits per committer: 79.667
  • Development Distribution Score (DDS): 0.017
Past Year
  • Commits: 5
  • Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jacob Lustig-Yaeger j****y@u****u 235
Jacob Lustig-Yaeger j****y@D****u 3
Arfon Smith a****n 1
Committer Domains (Top 20 + Academic)
d-172-28-191-158.dhcp4.washington.edu: 1 uw.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 4
  • Average time to close issues: 7 days
  • Average time to close pull requests: about 2 hours
  • Total issue authors: 5
  • Total pull request authors: 3
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.5
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jlustigy (2)
  • mb2448 (1)
  • mgeier (1)
  • theakozakis (1)
  • hippke (1)
Pull Request Authors
  • jlustigy (3)
  • curriem (1)
  • arfon (1)
Top Labels
Issue Labels
enhancement (2) bug (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 23 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
pypi.org: coronagraph

Coronagraph noise model for directly imaging exoplanets.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 23 Last month
Rankings
Dependent packages count: 10.1%
Forks count: 13.3%
Average: 18.5%
Dependent repos count: 21.6%
Stargazers count: 21.6%
Downloads: 25.7%
Maintainers (1)
jlustigy
Last synced: 6 months ago

Dependencies

setup.py pypi
  • astropy *
  • matplotlib *
  • numba *
  • numpy *
  • scipy *