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

Monthly Notices of the Royal Astronomical Society Oxford University Press 509:1 (2021) 866-883

Authors:

Oscar Barragan Villanueva, Suzanne Aigrain, Vinesh M Rajpaul, Norbert Zicher

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 built-in multi-dimensional Gaussian process approach to modelling radial velocity and activity indicator time-series with different underlying covariance functions. This new version of the code also allows multi-band and single transit modelling; it runs on Python 3, and features overall improvements in performance. We describe the new implementation and provide tests to validate the new routines that have direct application to exoplanet detection and characterisation. We have made the code public and freely available at https://github.com/oscaribv/pyaneti. We also present the codes citlalicue and citlalatonac that allow one to create synthetic photometric and spectroscopic time-series, respectively, with planetary and stellar-like signals.

A multispecies pseudoadiabat for simulating condensable-rich exoplanet atmospheres

Planetary Science Journal American Astronomical Society 2:5 (2021) 207

Authors:

Rj Graham, Tim Lichtenberg, Ryan Boukrouche, Raymond Pierrehumbert

Abstract:

Central stages in the evolution of rocky, potentially habitable planets may play out under atmospheric conditions with a large inventory of nondilute condensable components. Variations in condensate retention and accompanying changes in local lapse rate may substantially affect planetary climate and surface conditions, but there is currently no general theory to effectively describe such atmospheres. In this article, expanding on the work by Li et al., we generalize the single-component moist pseudoadiabat derivation in Pierrehumbert to allow for multiple condensing components of arbitrary diluteness and retained condensate fraction. The introduction of a freely tunable retained condensate fraction allows for a flexible, self-consistent treatment of atmospheres with nondilute condensable components. To test the pseudoadiabat's capabilities for simulating a diverse range of climates, we apply the formula to planetary atmospheres with compositions, surface pressures, and temperatures representing important stages with condensable-rich atmospheres in the evolution of terrestrial planets: a magma ocean planet in a runaway greenhouse state; a post-impact, late-veneer-analog planet with a complex atmospheric composition; and an Archean Earth-like planet near the outer edge of the classical circumstellar habitable zone. We find that variations in the retention of multiple nondilute condensable species can significantly affect the lapse rate and in turn outgoing radiation and the spectral signatures of planetary atmospheres. The presented formulation allows for a more comprehensive treatment of the climate evolution of rocky exoplanets and early Earth analogs.

A HARPS-N mass for the elusive Kepler-37d: a case study in disentangling stellar activity and planetary signals

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 507:2 (2021) 1847-1868

Authors:

VM Rajpaul, LA Buchhave, G Lacedelli, K Rice, A Mortier, L Malavolta, S Aigrain, L Borsato, AW Mayo, D Charbonneau, M Damasso, X Dumusque, A Ghedina, DW Latham, M Lopez-Morales, A Magazzu, G Micela, E Molinari, F Pepe, G Piotto, E Poretti, S Rowther, A Sozzetti, S Udry, CA Watson

HST PanCET Program: A Complete Near-UV to Infrared Transmission Spectrum for the Hot Jupiter WASP-79b

ASTRONOMICAL JOURNAL 162:4 (2021) ARTN 138

Authors:

Alexander D Rathcke, Ryan J MacDonald, Joanna K Barstow, Jayesh M Goyal, Mercedes Lopez-Morales, Joao M Mendonca, Jorge Sanz-Forcada, Gregory W Henry, David K Sing, Munazza K Alam, Nikole K Lewis, Katy L Chubb, Jake Taylor, Nikolay Nikolov, Lars A Buchhave

pyaneti II: A multidimensional Gaussian process approach to analysing spectroscopic time-series

(2021)

Authors:

Oscar Barragán, Suzanne Aigrain, Vinesh M Rajpaul, Norbert Zicher