https://github.com/iancze/psoap

Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."
https://github.com/iancze/psoap

astronomy exoplanet gaussian-processes orbit python radial radial-velocities spectra spectroscopy velocity

Last synced: 5 months ago
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Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."

• Host: GitHub
• URL: https://github.com/iancze/psoap
• Owner: iancze
• License: mit
• Created: 2016-10-08T04:37:44.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-12-06T08:06:02.000Z (over 7 years ago)
• Last Synced: 2024-05-20T20:20:52.474Z (11 months ago)
• Topics: astronomy, exoplanet, gaussian-processes, orbit, python, radial, radial-velocities, spectra, spectroscopy, velocity
• Language: Python
• Homepage: http://psoap.readthedocs.io
• Size: 54.2 MB
• Stars: 30
• Watchers: 7
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# PSOAP

Pronounced "soap."

[![Documentation Status](https://readthedocs.org/projects/psoap/badge/?version=latest)](http://psoap.readthedocs.io/en/latest/?badge=latest) [![Build Status](https://travis-ci.org/iancze/PSOAP.svg?branch=master)](https://travis-ci.org/iancze/PSOAP)

**Precision Spectroscopic Orbits A-Parametrically**

PSOAP is a package for simultaneously inferring stellar (and/or exoplanet) orbits and stellar spectra using Gaussian processes. Some uses include:

* Fitting for radial velocities in a template-free manner

* Inferring orbits of single-lined spectroscopic binaries (e.g., exoplanets/their host stars)

* Generation of high-fidelity stellar templates (for use with traditional RV cross-correlation measurements, variability searches)

* Inferring orbits and spectra of double-lined spectroscopic binaries (see gif below)

Documentation and installation instructi

ons are available at [http://psoap.readthedocs.io](http://psoap.readthedocs.io).

![disentangling loop](output.gif "disentangling loop")

If you use our paper, code, or a derivative of it in your research, we would really appreciate a citation to [Czekala et al. 2017](http://adsabs.harvard.edu/abs/2017ApJ...840...49C):

    @ARTICLE{2017ApJ...840...49C,

        author = {{Czekala}, I. and {Mandel}, K.~S. and {Andrews}, S.~M. and {Dittmann}, J.~A. and

        {Ghosh}, S.~K. and {Montet}, B.~T. and {Newton}, E.~R.},

        title = "{Disentangling Time-series Spectra with Gaussian Processes: Applications to Radial Velocity Analysis}",

        journal = {\apj},

        archivePrefix = "arXiv",

        eprint = {1702.05652},

        primaryClass = "astro-ph.SR",

        keywords = {binaries: spectroscopic, celestial mechanics, stars: fundamental parameters, stars: individual: LP661-13, techniques: radial velocities, techniques: spectroscopic},

         year = 2017,

        month = may,

        volume = 840,

          eid = {49},

        pages = {49},

          doi = {10.3847/1538-4357/aa6aab},

        adsurl = {http://adsabs.harvard.edu/abs/2017ApJ...840...49C},

        adsnote = {Provided by the SAO/NASA Astrophysics Data System}

    }

Copyright Ian Czekala and collaborators 2016-17.

## Papers using PSOAP

* *Disentangling Time-series Spectra with Gaussian Processes: Applications to Radial Velocity Analysis*, [Czekala et al. 2017](http://adsabs.harvard.edu/abs/2017ApJ...840...49C)

* *The Architecture of the GW Ori Young Triple Star System and Its Disk: Dynamical Masses, Mutual Inclinations, and Recurrent Eclipses*, [Czekala et al. 2017](http://adsabs.harvard.edu/abs/2017arXiv171003153C)