The TolTEC data analysis pipeline and software stack

Zhiyuan Ma; Michael McCrackan; N. S. Denigris; Kamal Souccar; Grant W. Wilson; Paul Horton; Dennis Lee; Philip Mauskopf; Giles Novak; Iván Rodríguez-Montoya; Javier Zaragoza-Cardiel

doi:10.1117/12.2560735

The TolTEC data analysis pipeline and software stack

Zhiyuan Ma, Michael McCrackan, N. S. Denigris, Kamal Souccar, Grant W. Wilson, Paul Horton, Dennis Lee, Philip Mauskopf, Giles Novak, Iván Rodríguez-Montoya, Javier Zaragoza-Cardiel

Earth and Space Exploration, School of (SESE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

TolTEC is a new camera that will shortly be mounted on the Large Millimeter Telescope (LMT). It provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). The TolTEC data analysis software stack, TolTECA, has been developed to facilitate the data analysis tasks, producing science-ready data products for both the TolTEC legacy surveys and for future principal investigator projects. The software stack consists of a high performance fully parallelized C++ data reduction pipeline engine citlali, and an infrastructural Python package tolteca, which works at the highest level, with many notable features including data product management, a web-based data visualization framework, timely analysis and quick-look tools for on-site observing, and a TolTEC observation simulator.

Original language	English (US)
Title of host publication	Software and Cyberinfrastructure for Astronomy VI
Editors	Juan C. Guzman, Jorge Ibsen
Publisher	SPIE
ISBN (Electronic)	9781510636910
DOIs	https://doi.org/10.1117/12.2560735
State	Published - 2020
Event	Software and Cyberinfrastructure for Astronomy VI 2020 - Virtual, Online, United States Duration: Dec 14 2020 → Dec 18 2020

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	11452
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Software and Cyberinfrastructure for Astronomy VI 2020
Country/Territory	United States
City	Virtual, Online
Period	12/14/20 → 12/18/20

Keywords

Large Millimeter Telescope
TolTEC
astronomical detectors
astronomical instrumentation
astronomy data analysis
astronomy data reduction
astronomy software
kinetic inductance detector
millimeter astronomy

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2560735

Cite this

Ma, Z., McCrackan, M., Denigris, N. S., Souccar, K., Wilson, G. W., Horton, P., Lee, D., Mauskopf, P., Novak, G., Rodríguez-Montoya, I., & Zaragoza-Cardiel, J. (2020). The TolTEC data analysis pipeline and software stack. In J. C. Guzman, & J. Ibsen (Eds.), Software and Cyberinfrastructure for Astronomy VI Article 114522O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11452). SPIE. https://doi.org/10.1117/12.2560735

The TolTEC data analysis pipeline and software stack. / Ma, Zhiyuan; McCrackan, Michael; Denigris, N. S. et al.
Software and Cyberinfrastructure for Astronomy VI. ed. / Juan C. Guzman; Jorge Ibsen. SPIE, 2020. 114522O (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11452).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ma, Z, McCrackan, M, Denigris, NS, Souccar, K, Wilson, GW, Horton, P, Lee, D, Mauskopf, P, Novak, G, Rodríguez-Montoya, I & Zaragoza-Cardiel, J 2020, The TolTEC data analysis pipeline and software stack. in JC Guzman & J Ibsen (eds), Software and Cyberinfrastructure for Astronomy VI., 114522O, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11452, SPIE, Software and Cyberinfrastructure for Astronomy VI 2020, Virtual, Online, United States, 12/14/20. https://doi.org/10.1117/12.2560735

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title = "The TolTEC data analysis pipeline and software stack",

abstract = "TolTEC is a new camera that will shortly be mounted on the Large Millimeter Telescope (LMT). It provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). The TolTEC data analysis software stack, TolTECA, has been developed to facilitate the data analysis tasks, producing science-ready data products for both the TolTEC legacy surveys and for future principal investigator projects. The software stack consists of a high performance fully parallelized C++ data reduction pipeline engine citlali, and an infrastructural Python package tolteca, which works at the highest level, with many notable features including data product management, a web-based data visualization framework, timely analysis and quick-look tools for on-site observing, and a TolTEC observation simulator. ",

keywords = "Large Millimeter Telescope, TolTEC, astronomical detectors, astronomical instrumentation, astronomy data analysis, astronomy data reduction, astronomy software, kinetic inductance detector, millimeter astronomy",

author = "Zhiyuan Ma and Michael McCrackan and Denigris, {N. S.} and Kamal Souccar and Wilson, {Grant W.} and Paul Horton and Dennis Lee and Philip Mauskopf and Giles Novak and Iv{\'a}n Rodr{\'i}guez-Montoya and Javier Zaragoza-Cardiel",

note = "Funding Information: This work is supported in-part by the National Science Foundation, grant #1636621. Publisher Copyright: {\textcopyright} 2020 SPIE.; Software and Cyberinfrastructure for Astronomy VI 2020 ; Conference date: 14-12-2020 Through 18-12-2020",

year = "2020",

doi = "10.1117/12.2560735",

language = "English (US)",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

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AU - McCrackan, Michael

AU - Denigris, N. S.

AU - Souccar, Kamal

AU - Wilson, Grant W.

AU - Horton, Paul

AU - Lee, Dennis

AU - Mauskopf, Philip

AU - Novak, Giles

AU - Rodríguez-Montoya, Iván

AU - Zaragoza-Cardiel, Javier

PY - 2020

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N2 - TolTEC is a new camera that will shortly be mounted on the Large Millimeter Telescope (LMT). It provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). The TolTEC data analysis software stack, TolTECA, has been developed to facilitate the data analysis tasks, producing science-ready data products for both the TolTEC legacy surveys and for future principal investigator projects. The software stack consists of a high performance fully parallelized C++ data reduction pipeline engine citlali, and an infrastructural Python package tolteca, which works at the highest level, with many notable features including data product management, a web-based data visualization framework, timely analysis and quick-look tools for on-site observing, and a TolTEC observation simulator.

AB - TolTEC is a new camera that will shortly be mounted on the Large Millimeter Telescope (LMT). It provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). The TolTEC data analysis software stack, TolTECA, has been developed to facilitate the data analysis tasks, producing science-ready data products for both the TolTEC legacy surveys and for future principal investigator projects. The software stack consists of a high performance fully parallelized C++ data reduction pipeline engine citlali, and an infrastructural Python package tolteca, which works at the highest level, with many notable features including data product management, a web-based data visualization framework, timely analysis and quick-look tools for on-site observing, and a TolTEC observation simulator.

KW - Large Millimeter Telescope

KW - TolTEC

KW - astronomical detectors

KW - astronomical instrumentation

KW - astronomy data analysis

KW - astronomy data reduction

KW - astronomy software

KW - kinetic inductance detector

KW - millimeter astronomy

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BT - Software and Cyberinfrastructure for Astronomy VI

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ER -

The TolTEC data analysis pipeline and software stack

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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