RadVel: The Radial Velocity Modeling Toolkit

By B. Fulton, E. Petigura, S. Blunt, E. Sinukoff. 2018

345 citations recorded by the source corpus.

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.

Subfields: Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/b51e612852e26480f9f1511cdd43cb3ba49d3910

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. A. Reiners
2. P. Amado
3. S. Jeffers
4. S. Dreizler
5. D. Montes
6. I. Ribas
7. T. Trifonov
8. A. Quirrenbach

Citations in the corpus

• The CARMENES Search for Exoplanets around M Dwarfs: A Low-mass Planet in the Temperate Zone of the Nearby K2-18 (2018, methodology): “We performed a Keplerian fit for the combined HARPS and CARMENES-VIS RVs using the publicly available python package RadVel3 (Fulton et al. 2018).”