RadVel: The Radial Velocity Modeling Toolkit
Abstract
RadVel is an open-source Python package for modeling Keplerian orbits in radial velocity (RV) timeseries. RadVel provides a convenient framework to fit RVs using maximum a posteriori optimization and to compute robust confidence intervals by sampling the posterior probability density via Markov Chain Monte Carlo (MCMC). RadVel allows users to float or fix parameters, impose priors, and perform Bayesian model comparison. We have implemented real-time MCMC convergence tests to ensure adequate sampling of the posterior. RadVel can output a number of publication-quality plots and tables. Users may interface with RadVel through a convenient command-line interface or directly from Python. The code is object-oriented and thus naturally extensible. We encourage contributions from the community. Documentation is available at http://radvel.readthedocs.io.
Additional Information
© 2018 The Astronomical Society of the Pacific. Received 2017 December 22; accepted 2018 January 16; published 2018 March 12. E.A.P. acknowledges support from Hubble Fellowship grant HST-HF2-51365.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc. for NASA under contract NAS 5-26555. E.S. is supported by a post-graduate scholarship from the Natural Sciences and Engineering Research Council of Canada.Attached Files
Submitted - 1801.01947.pdf
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Additional details
- Eprint ID
- 85499
- DOI
- 10.1088/1538-3873/aaaaa8
- Resolver ID
- CaltechAUTHORS:20180329-131024857
- NASA Hubble Fellowship
- HST-HF2-51365.001-A
- NASA
- NAS 5-26555
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- Created
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2018-03-29Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field