4.6 Article

Optimizing exoplanet transit searches around low-mass stars with inclination constraints

Journal

ASTRONOMY & ASTROPHYSICS
Volume 537, Issue -, Pages -

Publisher

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201117809

Keywords

stars: activity; planets and satellites: detection; stars: rotation

Funding

  1. MICINN (Spanish Ministry of Science and Innovation) [AYA2009-06934, AYA2009-14648-C02-01, CSD2007-00050]

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Aims. We investigate a method to increase the efficiency of a targeted exoplanet search with the transit technique by preselecting a subset of candidates from large catalogs of stars. Assuming spin-orbit alignment, this can be achieved by considering stars that have a higher probability to be oriented nearly equator-on (inclination close to 90 degrees). Methods. We used activity-rotation velocity relations for low-mass stars with a convective envelope to study the dependence of the position in the activity-v sin i diagram on the stellar axis inclination. We composed a catalog of G-, K-, M-type main-sequence simulated stars using isochrones, an isotropic inclination distribution and empirical relations to obtain their rotation periods and activity indexes. Then the activity-v sin i diagram was completed and statistics were applied to trace the areas containing the higher ratio of stars with inclinations above 80 degrees. A similar statistics was applied to stars from real catalogs with log(R-HK') and v sin i data to find their probability of being oriented equator-on. Results. We present our method to generate the simulated star catalog and the subsequent statistics to find the highly inclined stars from real catalogs using the activity-v sin i diagram. Several catalogs from the literature are analyzed and a subsample of stars with the highest probability of being equator-on is presented. Conclusions. Assuming spin-orbit alignment, the efficiency of an exoplanet transit search in the resulting subsample of probably highly inclined stars is estimated to be two to three times higher than with a general search without preselection.

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