Multiple M dwarf stars with Robo-AO and Gaia DR2

DOI

We analyze observations from Autonomous laser-adaptive-optics for few-meter-class telescopes (Robo-AO)'s field M dwarf survey taken on the 2.1m Kitt Peak telescope and perform a multiplicity comparison with Gaia DR2. Through its laser-guided, automated system, the Robo-AO instrument has yielded the largest adaptive optics M dwarf multiplicity survey to date. After developing an interface to visually identify and locate stellar companions, we selected 11 low-significance Robo-AO detections for follow-up on the Keck II telescope using NIRC2. In the Robo-AO survey we find 553 candidate companions within 4" around 534 stars out of 5566 unique targets, most of which are new discoveries. Using a position cross-match with DR2 on all targets, we assess the binary recoverability of Gaia DR2 and compare the properties of multiples resolved by both Robo-AO and Gaia. The catalog of nearby M dwarf systems and their basic properties presented here can assist other surveys which observe these stars, such as the NASA Transiting Exoplanet Survey Satellite (TESS) mission.

Cone search capability for table J/AJ/159/139/table5 (Cross-match between LSPM (I/298) and Gaia DR2 (I/345))

Identifier
DOI http://doi.org/10.26093/cds/vizier.51590139
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/AJ/159/139
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/159/139
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/159/139
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/AJ/159/139
Provenance
Creator Lamman C.; Baranec C.; Berta-Thompson Z.K.; Law N.M.; Schonhut-Stasik J.,Ziegler C.; Salama M.; Jensen-Clem R.; Duev D.A.; Riddle R.; Kulkarni S.R.,Winters J.G.; Irwin J.M.
Publisher CDS
Publication Year 2020
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy