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IGRINS RV

IGRINS RV: A Python Package for Precision Radial Velocities with Near-Infrared Spectra - Published in JOSS (2021)

https://github.com/shihyuntang/igrins_rv

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, zenodo.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
Last synced: 6 months ago · JSON representation

Repository

Welcome to IGRINS RV, a open source pipeline for extracting radial velocity (RV) for the Immersion GRating INfrared Spectrometer (IGRINS) instrument. Please contact asa.stahl@rice.edu or sytang@lowell.edu for more detail.

Basic Info
Statistics
  • Stars: 6
  • Watchers: 1
  • Forks: 1
  • Open Issues: 1
  • Releases: 8
Created almost 6 years ago · Last pushed 11 months ago
Metadata Files
Readme License

README.md

status DOI

IGRINS RV: A Radial Velocity Pipeline for IGRINS

Latest version is v1.5.1, more see https://igrins-rv.readthedocs.io.

IGRINS RV is a python open source pipeline for extracting radial velocities (RVs) from spectra taken with the Immersion GRating INfrared Spectrometer (IGRINS). It uses a modified forward modeling technique that leverages telluric absorption lines as a common-path wavelength calibrator. IGRINS RV achieves an RV precision in the H and K bands of around 25-30 m/s for narrow-line stars, and it has successfully recovered the planet-induced RV signals of both HD 189733 and τ Boo A. Visit Stahl et al. 2021 to see the published paper.

If you have any questions, suggestions, or wish to report a bug, please let us know by either opening an issue or contacting us (asa.stahl@rice.edu or sytang@lowell.edu). More on how to contribute can be found in the FAQ page.

Installation

A detailed installation guide can be found here.

How to run

The best way to learn how IGRINS RV works is to first play with the example data, following steps in Demo Run With Example Data of GJ281. \ While you are waiting for the example code to finish, read the detailed documentation on https://igrins-rv.readthedocs.io so you know how to alter the example commands to fit your OWN science targets.

If you use IGRINS RV in your work, please go to the FAQ page to see how to properly cite IGRINS RV.

Owner

  • Name: sytang-astro
  • Login: shihyuntang
  • Kind: user
  • Location: Flagstaff
  • Company: Rice University & Lowell Observatory

Graduate student at Rice University and Research Assistant at Lowell Observatory

JOSS Publication

IGRINS RV: A Python Package for Precision Radial Velocities with Near-Infrared Spectra
Published
June 10, 2021
DOI
Volume 6, Issue 62, Page 3095
Authors
Shih-Yun Tang ORCID
Lowell Observatory, 1400 W. Mars Hill Road, Flagstaff, AZ 86001, USA, Department of Astronomy and Planetary Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA
Asa G. Stahl ORCID
Department of Physics and Astronomy, Rice University, 6100 Main Street, Houston, TX 77005, USA
Christopher M. Johns-Krull
Department of Physics and Astronomy, Rice University, 6100 Main Street, Houston, TX 77005, USA
L. Prato ORCID
Lowell Observatory, 1400 W. Mars Hill Road, Flagstaff, AZ 86001, USA, Department of Astronomy and Planetary Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA
Joe Llama ORCID
Lowell Observatory, 1400 W. Mars Hill Road, Flagstaff, AZ 86001, USA
Editor
Dan Foreman-Mackey ORCID
Tags
astronomy radial velocity IGRINS
View PDF Review Thread Software Archive

GitHub Events

Total
  • Watch event: 1
  • Push event: 19
  • Create event: 1
Last Year
  • Watch event: 1
  • Push event: 19
  • Create event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 2,993
  • Total Committers: 3
  • Avg Commits per committer: 997.667
  • Development Distribution Score (DDS): 0.292
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
sytang s****g@l****u 2,120
astahl7 3****7 871
Dan Foreman-Mackey f****y@g****m 2
Committer Domains (Top 20 + Academic)
lowell.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 2
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 4.33
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • 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
View more stats
Top Authors
Issue Authors
  • gully (3)
  • jmbrewer (2)
  • astahl7 (1)
Pull Request Authors
  • astahl7 (1)
  • dfm (1)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Dependencies

environment.yml pypi
  • more_itertools *
  • pqdm *
  • pysynphot *