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PYANETI II: a multi-dimensional Gaussian process approach to analysing spectroscopic time-series

Abstract:

The two most successful methods for exoplanet detection rely on the detection of planetary signals in photometric and radial velocity time-series. This depends on numerical techniques that exploit the synergy between data and theory to estimate planetary, orbital, and/or stellar parameters. In this work we present a new version of the exoplanet modelling code pyaneti. This new release has a special emphasis on the modelling of stellar signals in radial velocity time-series. The code has a bui...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/mnras/stab2889

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
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Role:
Author
ORCID:
0000-0001-7576-6703
Publisher:
Oxford University Press
Journal:
Monthly Notices of the Royal Astronomical Society More from this journal
Volume:
509
Issue:
1
Pages:
866–883
Publication date:
2021-10-07
Acceptance date:
2021-10-04
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
Language:
English
Keywords:
Pubs id:
1196832
Local pid:
pubs:1196832
Deposit date:
2021-10-08

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