Precision astrometry with adaptive optics: Constraints on the mutual orbit of Luhman 16AB from GeMS

S. Mark Ammons, E. Victor Garcia, Maissa Salama, Benoit Neichel, Jessica Lu, Christian Marois, Bruce Macintosh, Dmitry Savransky, Eduardo Bendek, Olivier Guyon, Eduardo Marin, Vincent Garrel, Gaetano Sivo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

ELTs equipped with MCAO systems will be powerful astrometric tools in the next two decades. With sparse-field precisions exceeding 30 uas for V > 18, the ELTs will surpass even GAIA's per-epoch precision for faint stars (V > 12). We present results from an ongoing astrometry program with Gemini GeMS and discuss synergies with WFIRST and GAIA. First, we present a fit to the relative orbit of the individual L/T components of Luhman16 AB, the nearest brown dwarf binary known. Exploiting GeMS' wide field of view to image reference stars, we are able to track the relative motion to better than 0.2 mas. We find that a mutual Keplerian orbit with no perturbing planets fits the binary separation to within the measurement errors, ruling out companions down to 14 earth masses for certain orbits and periods.

Original languageEnglish (US)
Title of host publicationAdaptive Optics Systems V
EditorsEnrico Marchetti, Jean-Pierre Veran, Laird M. Close
PublisherSPIE
ISBN (Electronic)9781510601970
DOIs
StatePublished - 2016
Externally publishedYes
EventAdaptive Optics Systems V - Edinburgh, United Kingdom
Duration: Jun 26 2016Jul 1 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9909
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherAdaptive Optics Systems V
Country/TerritoryUnited Kingdom
CityEdinburgh
Period6/26/167/1/16

Keywords

  • Adaptive optics
  • Astrometry
  • Brown dwarf
  • M92
  • Multi-conjugate
  • NGC 1851
  • Tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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