On-sky MOAO performance evaluation of RAVEN

Y. H. Ono, Carlos M. Correia, O. Lardière, D. R. Andersen, S. Oya, M. Akiyama, D. Gamroth, K. Jackson, O. Martin, C. Bradley

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

4 Citations (Scopus)

Abstract

This paper presents the AO performance we got on-sky with RAVEN, a Multi-Object Adaptive Optics (MOAO) technical and science demonstrator installed and tested at the Subaru telescope. We report Ensquared-Energy (EE) and Full Width at Half Maximum (FWHM) measured from science images on Subaru's IRCS taken during all of the on-sky observing runs. We show these metrics as function of different AO modes and atmospheric conditions for two asterisms of natural guide stars. The performances of the MOAO and Ground-Layer AO (GLAO) modes are between the classical Single-Conjugate AO (SCAO) and seeing-limited modes. We achieve the EE of 30% in H-band with the MOAO correction, which is a science requirement for RAVEN. The MOAO provides sightly better performance than the GLAO mode in both asterisms. One of the reasons which cause this small difference between the MOAO and GLAO modes may be the strong GL contribution. Also, the performance of the MOAO modes is affected by the accuracy of the on-sky turbulence profiling by the SLOpe Detection And Ranging (SLODAR) method.

Original languageEnglish
Title of host publicationAdaptive Optics Systems V
EditorsEnrico Marchetti, Jean-Pierre Veran, Laird M. Close
PublisherSPIE
ISBN (Electronic)9781510601970
DOIs
Publication statusPublished - 2016
EventAdaptive Optics Systems V - Edinburgh, United Kingdom
Duration: 2016 Jun 262016 Jul 1

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
CountryUnited Kingdom
CityEdinburgh
Period16/6/2616/7/1

Keywords

  • Adaptive Optics
  • Multi-Object Adaptive Optics
  • RAVEN

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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