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The Infrared Imaging Spectrograph (IRIS) for TMT: Data Reduction System

Walth, Gregory and Wright, Shelley A. and Weiss, Jason and Larkin, James E. and Moore, Anna M. and Chapin, Edward L. and Do, Tuan and Dunn, Jennifer and Ellerbroek, Brent and Gillies, Kim and Hayano, Yucata and Johnson, Chris and Marshall, Daniel and Riddle, Reed L. and Simard, Luc and Sohn, Ji Man and Suzuki, Ryuji and Wincensten, James (2016) The Infrared Imaging Spectrograph (IRIS) for TMT: Data Reduction System. In: Software and Cyberinfrastructure for Astronomy IV. Proceedings of SPIE. No.9913. Society of Photo-Optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 99134A. ISBN 978-1-5106-0205-2. http://resolver.caltech.edu/CaltechAUTHORS:20170110-114048059

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Abstract

IRIS (InfraRed Imaging Spectrograph) is the diffraction-limited first light instrument for the Thirty Meter Telescope (TMT) that consists of a near-infrared (0.84 to 2.4 μm) imager and integral field spectrograph (IFS). The IFS makes use of a lenslet array and slicer for spatial sampling, which will be able to operate in 100’s of different modes, including a combination of four plate scales from 4 milliarcseconds (mas) to 50 mas with a large range of filters and gratings. The imager will have a field of view of 34×34 arcsec^2 with a plate scale of 4 mas with many selectable filters. We present the preliminary design of the data reduction system (DRS) for IRIS that need to address all of these observing modes. Reduction of IRIS data will have unique challenges since it will provide real-time reduction and analysis of the imaging and spectroscopic data during observational sequences, as well as advanced post-processing algorithms. The DRS will support three basic modes of operation of IRIS; reducing data from the imager, the lenslet IFS, and slicer IFS. The DRS will be written in Python, making use of open-source astronomical packages available. In addition to real-time data reduction, the DRS will utilize real-time visualization tools, providing astronomers with up-to-date evaluation of the target acquisition and data quality. The quick look suite will include visualization tools for 1D, 2D, and 3D raw and reduced images. We discuss the overall requirements of the DRS and visualization tools, as well as necessary calibration data to achieve optimal data quality in order to exploit science cases across all cosmic distance scales.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1117/12.2233076DOIArticle
http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2543643PublisherArticle
ORCID:
AuthorORCID
Riddle, Reed L.0000-0002-0387-370X
Additional Information:© 2016 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 of ChinaUNSPECIFIED
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
Record Number:CaltechAUTHORS:20170110-114048059
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170110-114048059
Official Citation:Gregory Walth ; Shelley A. Wright ; Jason Weiss ; James E. Larkin ; Anna M. Moore ; Edward L. Chapin ; Tuan Do ; Jennifer Dunn ; Brent Ellerbroek ; Kim Gillies ; Yutaka Hayano ; Chris Johnson ; Daniel Marshall ; Reed L. Riddle ; Luc Simard ; Ji Man Sohn ; Ryuji Suzuki ; James Wincentsen; The Infrared Imaging Spectrograph (IRIS) for TMT: data reduction system. Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy IV, 99134A (August 8, 2016); doi:10.1117/12.2233076.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73374
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:10 Jan 2017 21:46
Last Modified:19 Aug 2017 20:37

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