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The Infrared Imaging Spectrograph (IRIS) for TMT: advancing the data reduction system

Walth, Gregory L. and Wright, Shelley A. and Rundquist, Nils-Erik and Andersen, David and Chapin, Edward and Chisholm, Eric and Do, Tuan and Dunn, Jennifer and Ellerbroek, Brent and Gillies, Kim and Hayano, Yutaka and Johnson, Chris and Larkin, James and Nakamoto, Takashi and Riddle, Reed and Simard, Luc and Smith, Roger and Suzuki, Ryuji and Sohn, Ji Man and Weber, Robert and Weiss, Jason and Zhang, Kai (2018) The Infrared Imaging Spectrograph (IRIS) for TMT: advancing the data reduction system. In: Software and Cyberinfrastructure for Astronomy V. Proceedings of SPIE. No.10707. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 1070731. ISBN 9781510619678. https://resolver.caltech.edu/CaltechAUTHORS:20190103-153504095

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Abstract

Infrared Imaging Spectrograph (IRIS) is the first light instrument for the Thirty Meter Telescope (TMT) that consists of a near-infrared (0.84 to 2.4 micron) imager and integral field spectrograph (IFS) which operates at the diffraction-limit utilizing the Narrow-Field Infrared Adaptive Optics System (NFIRAOS). The imager will have a 34 arcsec x 34 arcsec field of view with 4 milliarcsecond (mas) pixels. The IFS consists of a lenslet array and slicer, enabling four plate scales from 4 mas to 50 mas, multiple gratings and filters, which in turn will operate hundreds of individual modes. IRIS, operating in concert with NFIRAOS will pose many challenges for the data reduction system (DRS). Here we present the updated design of the real-time and post-processing DRS. The DRS will support two modes of operation of IRIS: (1) writing the raw readouts sent from the detectors and performing the sampling on all of the readouts for a given exposure to create a raw science frame; and (2) reduction of data from the imager, lenslet array and slicer IFS. IRIS is planning to save the raw readouts for a given exposure to enable sophisticated processing capabilities to the end users, such as the ability to remove individual poor seeing readouts to improve signal-to-noise, or from advanced knowledge of the point spread function (PSF). The readout processor (ROP) is a key part of the IRIS DRS design for writing and sampling of the raw readouts into a raw science frame, which will be passed to the TMT data archive. We discuss the use of sub-arrays on the imager detectors for saturation/persistence mitigation, on-detector guide windows, and fast readout science cases (< 1 second).


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.2314228DOIArticle
ORCID:
AuthorORCID
Wright, Shelley A.0000-0003-1034-8054
Do, Tuan0000-0001-9554-6062
Larkin, James0000-0001-7687-3965
Riddle, Reed0000-0002-0387-370X
Additional Information:© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE). The TMT Project gratefully acknowledges the support of the TMT collaborating institutions. They are the California Institute of Technology, the University of California, the National Astronomical Observatory of Japan, the National Astronomical Observatories of China and their consortium partners, the Department of Science and Technology of India and their supported institutes, and the National Research Council of Canada. This work was supported as well by the Gordon and Betty Moore Foundation, the Canada Foundation for Innovation, the Ontario Ministry of Research and Innovation, the Natural Sciences and Engineering Research Council of Canada, the British Columbia Knowledge Development Fund, the Association of Canadian Universities for Research in Astronomy (ACURA), the Association of Universities for Research in Astronomy (AURA), the U.S. National Science Foundation, the National Institutes of Natural Sciences of Japan, and the Department of Atomic Energy of India.
Group:Thirty Meter Telescope
Funders:
Funding AgencyGrant Number
CaltechUNSPECIFIED
University of CaliforniaUNSPECIFIED
National Astronomical Observatory of JapanUNSPECIFIED
National Astronomical Observatories, Chinese Academy of Sciences (NAOC)UNSPECIFIED
Department of Science and Technology (India)UNSPECIFIED
National Research Council of CanadaUNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Canada Foundation for InnovationUNSPECIFIED
Ontario Ministry of Research and InnovationUNSPECIFIED
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
British Columbia Knowledge Development FundUNSPECIFIED
Association of Canadian Universities for Research in Astronomy (ACURA)UNSPECIFIED
Association of Universities for Research in Astronomy (AURA)UNSPECIFIED
NSFUNSPECIFIED
National Institutes of Natural Sciences of JapanUNSPECIFIED
Department of Atomic Energy (India)UNSPECIFIED
Subject Keywords:integral field spectroscopy, data reduction pipeline
Series Name:Proceedings of SPIE
Issue or Number:10707
Record Number:CaltechAUTHORS:20190103-153504095
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190103-153504095
Official Citation:Gregory L. Walth, Shelley A. Wright, Nils-Erik Rundquist, David Andersen, Edward Chapin, Eric Chisholm, Tuan Do, Jennifer Dunn, Brent Ellerbroek, Kim Gillies, Yutaka Hayano, Chris Johnson, James Larkin, Takashi Nakamoto, Reed Riddle, Luc Simard, Roger Smith, Ryuji Suzuki, Ji Man Sohn, Robert Weber, Jason Weiss, Kai Zhang, "The Infrared Imaging Spectrograph (IRIS) for TMT: advancing the data reduction system," Proc. SPIE 10707, Software and Cyberinfrastructure for Astronomy V, 1070731 (10 July 2018); doi: 10.1117/12.2314228
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92054
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:07 Jan 2019 16:22
Last Modified:03 Oct 2019 20:40

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