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Title: Scheduling strategies for the ESPRESSO follow-up of TESS targets

Abstract

ABSTRACT Radial-velocity follow-up of stars harbouring transiting planets detected by TESS is expected to require very large amounts of expensive telescope time in the next few years. Therefore, scheduling strategies should be implemented to maximize the amount of information gathered about the target planetary systems. We consider myopic and non-myopic versions of a novel uniform-in-phase scheduler, as well as a random scheduler, and compare these scheduling strategies with respect to the bias, accuracy and precision achieved in recovering the mass and orbital parameters of transiting and non-transiting planets. This comparison is carried out based on realistic simulations of radial-velocity follow-up with ESPRESSO of a sample of 50 TESS target stars, with simulated planetary systems containing at least one transiting planet with a radius below 4R⊕. Radial-velocity data sets were generated under reasonable assumptions about their noise component, including that resulting from stellar activity, and analysed using a fully Bayesian methodology. We find the random scheduler leads to a more biased, less accurate, and less precise, estimation of the mass of the transiting exoplanets. No significant differences are found between the results of the myopic and non-myopic implementations of the uniform-in-phase scheduler. With only about 22 radial velocity measurements per datamore » set, our novel uniform-in-phase scheduler enables an unbiased (at the level of 1 per cent) measurement of the masses of the transiting planets, while keeping the average relative accuracy and precision around 16 per cent and 23 per cent, respectively. The number of non-transiting planets detected is similar for all the scheduling strategies considered, as well as the bias, accuracy and precision with which their masses and orbital parameters are recovered.« less

Authors:
ORCiD logo [1];  [2];  [3];  [4]
  1. Università degli Studi dell’Insubria, Via Valleggio 11, I-22100 Como, Italy, INAF, Osservatorio Astronomico di Brera, Via E. Bianchi 46 I-23807 Merate (LC), Italy
  2. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, P-4150-762 Porto, Portugal, Departamento de Física e Astronomia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 687, P-4169-007 Porto, Portugal
  3. INAF, Osservatorio Astronomico di Brera, Via E. Bianchi 46 I-23807 Merate (LC), Italy
  4. Instituto de Astrofísica e Ciências do Espaço, Universidade do Porto, CAUP, Rua das Estrelas, P-4150-762 Porto, Portugal
Publication Date:
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Fuel Cell Technologies Office
OSTI Identifier:
1777003
Grant/Contract Number:  
UID/FIS/04434/2019; UIDB/04434/2020; UIDP/04434/2020; PTDC/FIS-AST/28953/2017; PTDC/FIS-AST/32113/2017
Resource Type:
Published Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 503 Journal Issue: 4; Journal ID: ISSN 0035-8711
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Cabona, L., Viana, P. T. P., Landoni, M., and Faria, J. P. Scheduling strategies for the ESPRESSO follow-up of TESS targets. United Kingdom: N. p., 2021. Web. doi:10.1093/mnras/stab826.
Cabona, L., Viana, P. T. P., Landoni, M., & Faria, J. P. Scheduling strategies for the ESPRESSO follow-up of TESS targets. United Kingdom. https://doi.org/10.1093/mnras/stab826
Cabona, L., Viana, P. T. P., Landoni, M., and Faria, J. P. Mon . "Scheduling strategies for the ESPRESSO follow-up of TESS targets". United Kingdom. https://doi.org/10.1093/mnras/stab826.
@article{osti_1777003,
title = {Scheduling strategies for the ESPRESSO follow-up of TESS targets},
author = {Cabona, L. and Viana, P. T. P. and Landoni, M. and Faria, J. P.},
abstractNote = {ABSTRACT Radial-velocity follow-up of stars harbouring transiting planets detected by TESS is expected to require very large amounts of expensive telescope time in the next few years. Therefore, scheduling strategies should be implemented to maximize the amount of information gathered about the target planetary systems. We consider myopic and non-myopic versions of a novel uniform-in-phase scheduler, as well as a random scheduler, and compare these scheduling strategies with respect to the bias, accuracy and precision achieved in recovering the mass and orbital parameters of transiting and non-transiting planets. This comparison is carried out based on realistic simulations of radial-velocity follow-up with ESPRESSO of a sample of 50 TESS target stars, with simulated planetary systems containing at least one transiting planet with a radius below 4R⊕. Radial-velocity data sets were generated under reasonable assumptions about their noise component, including that resulting from stellar activity, and analysed using a fully Bayesian methodology. We find the random scheduler leads to a more biased, less accurate, and less precise, estimation of the mass of the transiting exoplanets. No significant differences are found between the results of the myopic and non-myopic implementations of the uniform-in-phase scheduler. With only about 22 radial velocity measurements per data set, our novel uniform-in-phase scheduler enables an unbiased (at the level of 1 per cent) measurement of the masses of the transiting planets, while keeping the average relative accuracy and precision around 16 per cent and 23 per cent, respectively. The number of non-transiting planets detected is similar for all the scheduling strategies considered, as well as the bias, accuracy and precision with which their masses and orbital parameters are recovered.},
doi = {10.1093/mnras/stab826},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 4,
volume = 503,
place = {United Kingdom},
year = {Mon Mar 22 00:00:00 EDT 2021},
month = {Mon Mar 22 00:00:00 EDT 2021}
}

Journal Article:
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https://doi.org/10.1093/mnras/stab826

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