| DOI | Resolve DOI: https://doi.org/10.1117/12.2561766 |
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| Author | Search for: Surya, Arun; Search for: Zonca, Andrea; Search for: Rundquist, Nils-Erik; Search for: Wright, Shelley A.; Search for: Walth, Gregory; Search for: Anderson, David R.1; Search for: Chapin, Edward L.1; Search for: Chisholm, Eric M.; Search for: Do, Tuan; Search for: Dunn, Jennifer S.1; Search for: Gillies, Kim; Search for: Hayano, Yutaka; Search for: Johnson, Christopher A.; Search for: Kupke, Renate; Search for: Larkin, James E.; Search for: Nakamoto, Takashi; Search for: Riddle, Reed L.; Search for: Smith, Roger M.; Search for: Suzuki, Ryuji; Search for: Sohn, Ji Man; Search for: Weber, Robert W.; Search for: Weiss, Jason L.; Search for: Zhang, Kai |
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| Affiliation | - National Research Council Canada. Herzberg Astronomy and Astrophysics
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| Format | Text, Article |
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| Conference | Software and Cyberinfrastructure for Astronomy VI, December 14-18, 2020, Online Only, United States |
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| Physical description | 14 p. |
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| Subject | ELT; instrumentation; pipeline; IRIS Consortium; imaging systems; Thirty Meter Telescope; algorithm development; infrared imaging spectrograph; computer simulations; infrared telescopes; iterated function systems; optical instrument design; spectrographs |
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| Abstract | IRIS (Infrared Imaging Spectrograph) is the near-infrared (0.84 to 2.4 micron) diffraction-limited imager and Integral Field Spectrograph (IFS) designed for the Thirty Meter Telescope (TMT) and the Narrow-Field Infrared Adaptive Optics System ( NFIRAOS ). The imager will have a 34 arcsec x 34 arcsec field of view with 4 milliarcseconds (mas) pixels. The IFS consists of a lenslet array and slicer, enabling four plate scales from 4 mas to 50 mas, with multiple gratings and filters. We will report the progress on the development of the IRIS Data Reduction System ( DRS ) in the final design phase. The IRIS DRS is being developed in Python with the software architecture based on the James Webb Space Telescope science calibration pipeline. We are developing a library of algorithms as individual Python classes that can be configured independently and bundled into pipelines. We will interface this with the observatory software to run online during observations and we will release the package publicly for scientists to develop custom analyses. It also includes a C library for readout processing to be used for both in real-time processing (e.g., up-the-ramp, MCDS) as well the ability for astronomers to use for offline reduction. Lastly, we will also discuss the development of the IRIS simulation packages that simulate raw spectra and image readout-data from the Hawaii-4RG detectors, which helps in developing reduction algorithms during this design phase. |
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| Publication date | 2020-12-17 |
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| Publisher | SPIE |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 2aff989c-7c97-459c-8651-2da557d859b6 |
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| Record created | 2022-07-06 |
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| Record modified | 2022-07-07 |
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