Article (Scientific journals)
Exoplanets with ELT-METIS. I. Estimating the direct imaging exoplanet yield around stars within 6.5 parsecs
Bowens, R.; Meyer, M. R.; Delacroix, Christian et al.
2021In Astronomy and Astrophysics, 653, p. 8
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Keywords :
infrared: planetary systems; planets and satellites: detection; instrumentation: detectors
Abstract :
[en] Direct imaging is a powerful exoplanet discovery technique that is complementary to other techniques and offers great promise in the era of 30 m class telescopes. Space-based transit surveys have revolutionized our understanding of the frequency of planets at small orbital radii around Sun-like stars. The next generation of extremely large ground-based telescopes will have the angular resolution and sensitivity to directly image planets with R < 4 R[SUB]⊕[/SUB] around the very nearest stars. Here, we predict yields from a direct imaging survey of a volume-limited sample of Sun-like stars with the Mid-Infrared ELT Imager and Spectrograph (METIS) instrument, planned for the 39 m European Southern Observatory Extremely Large Telescope (ELT) that is expected to be operational towards the end of the decade. Using Kepler occurrence rates, a sample of stars with spectral types A-K within 6.5 pc, and simulated contrast curves based on an advanced model of what is achievable from coronagraphic imaging with adaptive optics, we estimated the expected yield from METIS using Monte Carlo simulations. We find the METIS expected yield of planets in the N2 band (10.10−12.40 μm) is 1.14 planets, which is greater than comparable observations in the L (3.70−3.95 μm) and M (4.70−4.90 μm) bands. We also determined a 24.6% chance of detecting at least one Jovian planet in the background limited regime assuming a 1 h integration. We calculated the yield per star and estimate optimal observing revisit times to increase the yield. We also analyzed a northern hemisphere version of this survey and found there are additional targets worth considering. In conclusion, we present an observing strategy aimed to maximize the possible yield for limited telescope time, resulting in 1.48 expected planets in the N2 band.
Research center :
STAR - Space sciences, Technologies and Astrophysics Research - ULiège
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Bowens, R.;  Astronomy Department, University of Michigan, Ann Arbor, MI, 48109, USA
Meyer, M. R.;  Astronomy Department, University of Michigan, Ann Arbor, MI, 48109, USA
Delacroix, Christian  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > PSILab
Absil, Olivier  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > PSILab
van Boekel, R.;  Max-Planck-Institut für Astronomie, Königstuhl 17, 69117, Heidelberg, Germany
Quanz, S. P.;  ETH Zurich, Institute for Particle Physics and Astrophysics, Wolfgang-Pauli-Strasse 27, 8093, Zurich, Switzerland
Shinde, M.;  Indian Institute of Science Education and Research (IISER) Pune, Dr. Homi Bhabha Rd, Pashan, Pune, 411008, India
Kenworthy, M.;  Leiden Observatory, Leiden University, PO Box 9513, 2300 RA, Leiden, The Netherlands
Carlomagno, Brunella ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > PSILab
Orban De Xivry, Gilles  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > PSILab
Cantalloube, F.;  Max-Planck-Institut für Astronomie, Königstuhl 17, 69117, Heidelberg, Germany
Pathak, Prashant ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > PSILab
Language :
English
Title :
Exoplanets with ELT-METIS. I. Estimating the direct imaging exoplanet yield around stars within 6.5 parsecs
Publication date :
31 August 2021
Journal title :
Astronomy and Astrophysics
ISSN :
0004-6361
eISSN :
1432-0746
Publisher :
EDP Sciences, Les Ulis, France
Volume :
653
Pages :
A8
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 819155 - EPIC - Earth-like Planet Imaging with Cognitive computing
Name of the research project :
EPIC; NNExI
Funders :
CER - Conseil Européen de la Recherche [BE]
CE - Commission Européenne [BE]
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