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Analysis of Early Science observations with the CHaracterising ExOPlanets Satellite (CHEOPS) using pycheops

Maxted, P.F.L. ; Davies, M.B. LU and Walton, N.A. (2022) In Monthly Notices of the Royal Astronomical Society 514(1). p.77-104
Abstract
CHEOPS (CHaracterising ExOPlanet Satellite) is an ESA S-class mission that observes bright stars at high cadence from low-Earth orbit. The main aim of the mission is to characterize exoplanets that transit nearby stars using ultrahigh precision photometry. Here, we report the analysis of transits observed by CHEOPS during its Early Science observing programme for four well-known exoplanets: GJ 436 b, HD 106315 b, HD 97658 b, and GJ 1132 b. The analysis is done using pycheops, an open-source software package we have developed to easily and efficiently analyse CHEOPS light-curve data using state-of-the-art techniques that are fully described herein. We show that the precision of the transit parameters measured using CHEOPS is comparable to... (More)
CHEOPS (CHaracterising ExOPlanet Satellite) is an ESA S-class mission that observes bright stars at high cadence from low-Earth orbit. The main aim of the mission is to characterize exoplanets that transit nearby stars using ultrahigh precision photometry. Here, we report the analysis of transits observed by CHEOPS during its Early Science observing programme for four well-known exoplanets: GJ 436 b, HD 106315 b, HD 97658 b, and GJ 1132 b. The analysis is done using pycheops, an open-source software package we have developed to easily and efficiently analyse CHEOPS light-curve data using state-of-the-art techniques that are fully described herein. We show that the precision of the transit parameters measured using CHEOPS is comparable to that from larger space telescopes such as Spitzer Space Telescope and Kepler. We use the updated planet parameters from our analysis to derive new constraints on the internal structure of these four exoplanets. © 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. (Less)
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keywords
Methods: data analysis, Planets and satellites: fundamental parameters, Software: data analysis, Data handling, Extrasolar planets, Information analysis, Open source software, Open systems, Orbits, Space telescopes, Stars, Earth orbits, Exo-planets, Light curves, Methods. Data analysis, Open-source softwares, Software data, Software: data analyse, State-of-the-art techniques, Ultrahigh precision, Satellites
in
Monthly Notices of the Royal Astronomical Society
volume
514
issue
1
pages
28 pages
publisher
Oxford University Press
external identifiers
  • scopus:85133372988
ISSN
0035-8711
DOI
10.1093/mnras/stab3371
language
English
LU publication?
yes
id
16f836b8-40fd-457c-b46f-61c386a1f3be
date added to LUP
2022-09-14 13:03:24
date last changed
2023-05-10 15:07:11
@article{16f836b8-40fd-457c-b46f-61c386a1f3be,
  abstract     = {{CHEOPS (CHaracterising ExOPlanet Satellite) is an ESA S-class mission that observes bright stars at high cadence from low-Earth orbit. The main aim of the mission is to characterize exoplanets that transit nearby stars using ultrahigh precision photometry. Here, we report the analysis of transits observed by CHEOPS during its Early Science observing programme for four well-known exoplanets: GJ 436 b, HD 106315 b, HD 97658 b, and GJ 1132 b. The analysis is done using pycheops, an open-source software package we have developed to easily and efficiently analyse CHEOPS light-curve data using state-of-the-art techniques that are fully described herein. We show that the precision of the transit parameters measured using CHEOPS is comparable to that from larger space telescopes such as Spitzer Space Telescope and Kepler. We use the updated planet parameters from our analysis to derive new constraints on the internal structure of these four exoplanets. © 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.}},
  author       = {{Maxted, P.F.L. and Davies, M.B. and Walton, N.A.}},
  issn         = {{0035-8711}},
  keywords     = {{Methods: data analysis; Planets and satellites: fundamental parameters; Software: data analysis; Data handling; Extrasolar planets; Information analysis; Open source software; Open systems; Orbits; Space telescopes; Stars; Earth orbits; Exo-planets; Light curves; Methods. Data analysis; Open-source softwares; Software data; Software: data analyse; State-of-the-art techniques; Ultrahigh precision; Satellites}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{77--104}},
  publisher    = {{Oxford University Press}},
  series       = {{Monthly Notices of the Royal Astronomical Society}},
  title        = {{Analysis of Early Science observations with the CHaracterising ExOPlanets Satellite (CHEOPS) using pycheops}},
  url          = {{http://dx.doi.org/10.1093/mnras/stab3371}},
  doi          = {{10.1093/mnras/stab3371}},
  volume       = {{514}},
  year         = {{2022}},
}