ULTIMATE-Subaru: System performance modeling of GLAO and wide-field NIR instruments

Yosuke Minowa, Yusei Koyama, Kenshi Yanagisawa, Kentaro Motohara, Ichi Tanaka, Yoshito Ono, Takashi Hattori, Christophe Clergeon, Yutaka Hayano, Masayuki Akiyama, Tadayuki Kodama, Céline D'orgeville, Francois Rigaut, Shiang Yu Wang, Michitoshi Yoshida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

ULTIMATE-Subaru is a next large facility instrument project at Subaru telescope. We will develop a 14x14 sq. arcmin wide-field near-infrared (NIR) imager and a multi-object spectrograph with the aid of a ground- layer adaptive optics system (GLAO), which will uniformly improve the seeing by a factor of 2 over a wide field of view up to ~20 arcmin in diameter. We have developed system modeling of the GLAO and wide-field NIR instruments to define the system level requirements flow down from science cases and derive the system performance budgets based on the GLAO end-to-end numerical simulation and optical system models of the telescope and wide-field NIR science instruments. In this paper, we describe the system performance modeling of ULTIMATE-Subaru and present an overview of the requirements flow down.

Original languageEnglish
Title of host publicationModeling, Systems Engineering, and Project Management for Astronomy IX
EditorsGeorge Z. Angeli, Philippe Dierickx
PublisherSPIE
ISBN (Electronic)9781510636873
DOIs
Publication statusPublished - 2020
EventModeling, Systems Engineering, and Project Management for Astronomy IX 2020 - Virtual, Online, United States
Duration: 2020 Dec 142020 Dec 22

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11450
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceModeling, Systems Engineering, and Project Management for Astronomy IX 2020
Country/TerritoryUnited States
CityVirtual, Online
Period20/12/1420/12/22

Keywords

  • GLAO
  • adaptive optics
  • near infrared
  • requirement
  • systems engineering
  • wide-field survey

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