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Estimating the number of planets that PLATO can detect

Matuszewski, M and Nettelmann, Nadine and Cabrera Perez, Juan and Börner, Anko and Rauer, Heike (2023) Estimating the number of planets that PLATO can detect. Astronomy & Astrophysics, 677, a133. EDP Sciences. doi: 10.1051/0004-6361/202245287. ISSN 0004-6361.

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Official URL: https://www.aanda.org/articles/aa/full_html/2023/09/aa45287-22/aa45287-22.html

Abstract

Context. The PLATO mission is scheduled for launch in 2026. It will monitor more than 245 000 FGK stars of magnitude 13 or brighter for planet transit events. Among the key scientific goals are the detection of Earth-Sun analogs; the detailed characterization of stars and planets in terms of mass, radius, and ages; the detection of planetary systems with longer orbital periods than are detected in current surveys; and to advance our understanding of planet formation and evolution processes. Aims. This study aims to estimate the number of exoplanets that PLATO can detect as a function of planetary size and period, stellar brightness, and observing strategy options. Deviations from these estimates will be informative of the true occurrence rates of planets, which helps constraining planet formation models. Methods. For this purpose, we developed the Planet Yield for PLATO estimator (PYPE), which adopts a statistical approach. We apply given occurrence rates from planet formation models and from different search and vetting pipelines for the Kepler data. We estimate the stellar sample to be observed by PLATO using a fraction of the all-sky PLATO stellar input catalog (PIC). PLATO detection efficiencies are calculated under different assumptions that are presented in detail in the text. Results. The results presented here primarily consider the current baseline observing duration of 4 yr. We find that the expected PLATO planet yield increases rapidly over the first year and begins to saturate after 2 yr. A nominal (2+2) 2-yr mission could yield about several thousand to several tens of thousands of planets, depending on the assumed planet occurrence rates. We estimate a minimum of 500 Earth-size (0.8-1.25 RE) planets, about a dozen of which would reside in a 250-500 days period bin around G stars. We find that one-third of the detected planets are around stars bright enough (V <=11) for RV-follow-up observations. We find that a 3-yr-long observation followed by 6 two-month short observations (3+1 yr) yield roughly twice as many planets as two long observations of 2 yr (2+2 yr). The former strategy is dominated by short-period planets, while the latter is more beneficial for detecting earths in the habitable zone. Conclusions. Of the many sources of uncertainties for the PLATO planet yield, the real occurrence rates matters most. Knowing the latter is crucial for using PLATO observations to constrain planet formation models by comparing their statistical yields.

Item URL in elib:https://elib.dlr.de/201509/
Document Type:Article
Title:Estimating the number of planets that PLATO can detect
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Matuszewski, MDLRUNSPECIFIEDUNSPECIFIED
Nettelmann, NadineUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Cabrera Perez, JuanUNSPECIFIEDhttps://orcid.org/0000-0001-6653-5487UNSPECIFIED
Börner, AnkoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rauer, HeikeUNSPECIFIEDhttps://orcid.org/0000-0002-6510-1828UNSPECIFIED
Date:19 July 2023
Journal or Publication Title:Astronomy & Astrophysics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:677
DOI:10.1051/0004-6361/202245287
Page Range:a133
Publisher:EDP Sciences
ISSN:0004-6361
Status:Published
Keywords:methods: numerical / methods: statistical / planets and satellites: detection / space vehicles
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - Project PLATO - PMC and Science
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Extrasolar Planets and Atmospheres
Institute of Planetary Research > Leitungsbereich PF
Institute of Optical Sensor Systems > Real-Time Data Processing
Deposited By: Cabrera Perez, Juan
Deposited On:04 Jan 2024 08:59
Last Modified:29 Jan 2024 12:15

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