<tt> <scp>pyaneti</scp> </tt> – II. A multidimensional Gaussian process approach to analysing spectroscopic time-series

نویسندگان

چکیده

ABSTRACT The two most successful methods for exoplanet detection rely on the of planetary signals in photometric and radial velocity time-series. This depends numerical techniques that exploit synergy between data theory to estimate planetary, orbital, and/or stellar parameters. In this work, we present a new version modelling code pyaneti. release has special emphasis built-in multidimensional Gaussian process approach activity indicator time-series with different underlying covariance functions. also allows multiband single transit modelling; it runs Python 3, features overall improvements performance. We describe implementation provide tests validate routines have direct application characterization. made public freely available at https://github.com/oscaribv/pyaneti. codes citlalicue citlalatonac allow one create synthetic spectroscopic time-series, respectively, stellar-like signals.

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Article history: Received 19 July 2009 Accepted 27 July 2009 Available online 21 August 2009 Submitted by V. Sergeichuk AMS classification: 15A12 65F10 65F15

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ژورنال

عنوان ژورنال: Monthly Notices of the Royal Astronomical Society

سال: 2021

ISSN: ['0035-8711', '1365-8711', '1365-2966']

DOI: https://doi.org/10.1093/mnras/stab2889