Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 482, Issue 1, Pages 1017-1030Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty2472
Keywords
methods: numerical; techniques: photometric; techniques: spectroscopic; planets and satellites: general
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Funding
- Programma Giovani Ricercatori - Rita Levi Montalcini - Rientro dei Cervelli (2012) - Italian Ministry of Education, Universities and Research (MIUR)
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Transiting exoplanet parameter estimation from time-series photometry and Doppler spectroscopy is fundamental to study planets' internal structures and compositions. Here we present the code pyaneti, a powerful and user-friendly software suite to perform multiplanet radial velocity and transit data fitting. The code uses a Bayesian approach combined with a Markov chain Monte Carlo sampling to estimate the parameters of planetary systems. We combine the numerical efficiency of fortran, the versatility of python, and the parallelization of to make pyaneti a fast and easy to use code. The package is freely available at ext-link-type=uri xlink:href=https://github.com/oscaribv/pyaneti>https://github.com/oscaribv/pyaneti.
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