Issue |
A&A
Volume 681, January 2024
|
|
---|---|---|
Article Number | A18 | |
Number of page(s) | 30 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202346701 | |
Published online | 03 January 2024 |
PlatoSim: an end-to-end PLATO camera simulator for modelling high-precision space-based photometry
1
Institute for Astronomy, KU Leuven,
Celestijnenlaan 200D bus 2401,
3001
Leuven,
Belgium
e-mail: nicholas.jannsen@kuleuven.be
2
Institute of Optical Sensor Systems, German Aerospace Center,
Rutherfordstraße 2,
12489
Berlin-Adlershof,
Germany
3
LESIA, Observatoire de Paris, Université PSL, Sorbonne Université, Université Paris Cité, CNRS,
5 place Jules Janssen,
92195
Meudon,
France
4
Max-Planck-Institut für Sonnensystemforschung,
Justus-von-Liebig-Weg 3,
37077
Göttingen,
Germany
5
European Space Agency/ESTEC,
Keplerlaan 1,
2201
AZ Noordwijk,
The Netherlands
6
Institute of Planetary Research, German Aerospace Center,
Rutherfordstr. 2,
12489
Berlin,
Germany
7
Sub-department of Astrophysics, Department of Physics, University of Oxford,
Oxford
OX1 3RH,
UK
8
Department of Physics, University of Warwick, Gibbet Hill Road,
Coventry,
CV4 7AL,
UK
9
Thales Alenia Space,
5 All. des Gabians,
06150
Cannes,
France
10
Department of Astrophysics, IMAPP, Radboud University Nijmegen,
PO Box 9010,
6500
GL Nijmegen,
The Netherlands
11
Max Planck Institute for Astronomy,
Koenigstuhl 17,
69117
Heidelberg,
Germany
Received:
19
April
2023
Accepted:
13
October
2023
Context. PLAnetary Transits and Oscillations of stars (PLATO) is the ESA M3 space mission dedicated to detect and characterise transiting exoplanets including information from the asteroseismic properties of their stellar hosts. The uninterrupted and high-precision photometry provided by space-borne instruments such as PLATO require long preparatory phases. An exhaustive list of tests are paramount to design a mission that meets the performance requirements and, as such, simulations are an indispensable tool in the mission preparation.
Aims. To accommodate PLATO’s need of versatile simulations prior to mission launch that at the same time describe innovative yet complex multi-telescope design accurately, in this work we present the end-to-end PLATO simulator specifically developed for that purpose, namely PlatoSim. We show, step-by-step, the algorithms embedded into the software architecture of PlatoSim that allow the user to simulate photometric time series of charge-coupled device (CCD) images and light curves in accordance to the expected observations of PLATO.
Methods. In the context of the PLATO payload, a general formalism of modelling, end-to-end, incoming photons from the sky to the final measurement in digital units is discussed. According to the light path through the instrument, we present an overview of the stellar field and sky background, the short- and long-term barycentric pixel displacement of the stellar sources, the cameras and their optics, the modelling of the CCDs and their electronics, and all main random and systematic noise sources.
Results. We show the strong predictive power of PlatoSim through its diverse applicability and contribution to numerous working groups within the PLATO mission consortium. This involves the ongoing mechanical integration and alignment, performance studies of the payload, the pipeline development, and assessments of the scientific goals.
Conclusions. PlatoSim is a state-of-the-art simulator that is able to produce the expected photometric observations of PLATO to a high level of accuracy. We demonstrate that PlatoSim is a key software tool for the PLATO mission in the preparatory phases until mission launch and prospectively beyond.
Key words: methods: numerical / space vehicles: instruments / instrumentation: photometers / planets and satellites: detection
Publisher note: The ORCID iD of the co-author R. Heller was the wrong one. His correct ORCID iD "0000-0002-9831-0984" has been exchanged on 24 May 2024.
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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