4.7 Article

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

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 514, Issue 1, Pages 77-104

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab3371

Keywords

methods: data analysis; software: data analysis; planets and satellites: fundamental parameters

Funding

  1. Science and Technology Facilities Council (STFC) [ST/M001040/1]
  2. European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (project FOUR ACES) [724427]
  3. Swiss National Science Foundation (SNSF)
  4. STFC consolidated grant [ST/R000824/1]
  5. Swiss National Fund [200020 172746]
  6. Centre National d'Etudes Spatiales (CNES) [837319]
  7. Fundacao para a Ciencia e a Tecnologia through FCT [CEECIND/00826/2018]
  8. POPH/FSE (EC)
  9. Belgian Federal Science Policy Office (BELSPO)
  10. University of Liege through an ARC grant for Concerted Research Actions - Wallonia-Brussels Federation
  11. Spanish Ministry of Science and Innovation
  12. European Regional Development Fund [ESP2016-80435-C2-1-R, ESP2016-80435-C2-2-R, PGC2018-098153-B-C33, PGC2018-098153-B-C31, ESP201787676-C5-1-R, MDM-2017-0737, PGC2018-098153-BC33]
  13. Generalitat de Catalunya/CERCA programme
  14. European Space Agency (ESA) [4000124370]
  15. FCT [IF/01312/2014/CP1215/CT0004, DL 57/2016/CP1364/CT0004]
  16. CNES
  17. FCT
  18. European Regional Development Fund (FEDER) through COMPETE2020 -Programa Operacional Competitividade e Internacionalizacao [UID/FIS/04434/2019, UIDB/04434/2020, UIDP/04434/2020, PTDC/FIS-AST/32113/2017, POCI-01-0145-FEDER-032113, PTDC/FIS-AST/28953/2017, POCI-01-0145-FEDER-028953, PTDC/FIS-AST/28987/2017, POCI-01-0145-FEDER-028987]
  19. Swiss National Science Foundation [PP00P2-190080]
  20. Swedish National Space Agency [DNR 65/19, 174/18]
  21. CRT Foundation [2018.2323]
  22. Region Ile de France
  23. project Equip@Meso of the programme Investissements d'Avenir [ANR-10-EQPX-29-01]
  24. Simons Foundation [327127]
  25. Hungarian National Research, Development and Innovation Office (NKFIH) [GINOP-2.3.2-15-2016-00003, K-119517, K-125015]
  26. City of Szombathely [67.177-21/2016]
  27. National Science Foundation [NSF PHY-1748958]
  28. STFC [ST/T506175/1]
  29. Swiss NCCR PlanetS
  30. Swiss National Science Foundation
  31. Italian Space Agency (ASI) [2013-016-R.0]
  32. National Aeronautics and Space Administration
  33. National Science Foundation
  34. ESO Telescopes at the La Silla Paranal Observatory [191.C-0873 (GJ 1132), 198.C-0838 (GJ 1132), 198.C-0169 (HD 106315), 098.C-0304 (HD 106315)]
  35. University of Li`ege through an ARC grant for Concerted Research Actions - Wallonia-Brussels Federation
  36. National Centre for Competence in Research `PlanetS' - Swiss National Science Foundation (SNSF)
  37. SNSA

Ask authors/readers for more resources

CHEOPS is an ESA mission aimed at characterizing exoplanets that transit nearby stars using ultrahigh precision photometry. This paper reports the transit analysis of four well-known exoplanets observed by CHEOPS during its Early Science observing programme, using an open-source software package developed by the authors.
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.

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