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Simulations for Planning Next-generation Exoplanet Radial Velocity Surveys

Authors :
Patrick D Newman
Peter Plavchan
Jennifer A. Burt
Johanna Teske
Eric E. Mamajek
Stephanie Leifer
B. Scott Gaudi
Gary Blackwood
Rhonda Morgan
Source :
The Astronomical Journal, Vol 165, Iss 4, p 151 (2023)
Publication Year :
2023
Publisher :
IOP Publishing, 2023.

Abstract

Future direct imaging missions similar to the HabEx and LUVOIR mission concepts aim to catalog and characterize Earth-mass analogs around nearby stars. The exoplanet yield of these missions will be dependent on the frequency of Earth-like planets, and potentially the a priori knowledge of which stars specifically host suitable planetary systems. Ground- or space-based radial velocity surveys can potentially perform the pre-selection of targets and assist in the optimization of observation times, as opposed to an uninformed direct imaging survey. In this paper, we present our framework for simulating future radial velocity surveys of nearby stars in support of direct imaging missions. We generate lists of exposure times, observation time-series, and radial velocity time-series given a direct imaging target list. We generate simulated surveys for a proposed set of telescopes and precise radial velocity spectrographs spanning a set of plausible global-network architectures that may be considered for next-generation extremely precise radial velocity surveys. We also develop figures of merit for observation frequency and planet detection sensitivity, and compare these across architectures. From these, we draw conclusions, given our stated assumptions and caveats, to optimize the yield of future radial velocity surveys supporting direct imaging missions. We find that all of our considered surveys obtain sufficient numbers of precise observations to meet the minimum theoretical white noise detection sensitivity for Earth-mass habitable-zone planets. While our detection rates and mass-sensitivity are optimistic, we have margin to explore systematic effects due to stellar activity and correlated noise in future work.

Details

Language :
English
ISSN :
15383881
Volume :
165
Issue :
4
Database :
Directory of Open Access Journals
Journal :
The Astronomical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.9c5e83e961ef4982b9a927c142901023
Document Type :
article
Full Text :
https://doi.org/10.3847/1538-3881/acad07