2014
DOI: 10.1093/mnras/stu601
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pastis: Bayesian extrasolar planet validation – I. General framework, models, and performance

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Cited by 195 publications
(204 citation statements)
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“…For that, we analysed the data with the MCMC algorithm of the PASTIS software (Díaz et al 2014a). We used a uniform prior for the RV amplitudes (between 0 and 100 km s −1 ) for the systemic RV (between −100 km s −1 and +100 km s −1 ) and for the argument of periastron (between 0 • and 360 • ).…”
Section: No Variation Casesmentioning
confidence: 99%
“…For that, we analysed the data with the MCMC algorithm of the PASTIS software (Díaz et al 2014a). We used a uniform prior for the RV amplitudes (between 0 and 100 km s −1 ) for the systemic RV (between −100 km s −1 and +100 km s −1 ) and for the argument of periastron (between 0 • and 360 • ).…”
Section: No Variation Casesmentioning
confidence: 99%
“…The normalized Kepler light curves were fitted by a transit model using the PASTIS code (Díaz et al 2014). The analysis also includes the fit of the SED and stellar evolution tracks to determine coherent stellar parameters.…”
Section: Photometry Analysismentioning
confidence: 99%
“…We used the planet analysis and small transit investigation software (PASTIS; Díaz et al 2014), which is a Bayesian analysis software, for fitting a two-planet model. HD 190360b orbit was not fixed but subjected to strong priors for the Bayesian analysis.…”
Section: Validation Of the Correctionmentioning
confidence: 99%