The ZTF Source Classification Project - II. Periodicity and variability processing metrics

Michael W. Coughlin; Kevin Burdge; Dmitry A. Duev; Michael L. Katz; Jan Van Roestel; Andrew Drake; Matthew J. Graham; Lynne Hillenbrand; Ashish A. Mahabal; Frank J. Masci; Przemek Mróz; Thomas A. Prince; Yuhan Yao; Eric C. Bellm; Rick Burruss; Richard Dekany; Amruta Jaodand; David L. Kaplan; Thomas Kupfer; Russ R. Laher; Reed Riddle; Mickael Rigault; Hector Rodriguez; Ben Rusholme; Jeffry Zolkower

doi:10.1093/mnras/stab1502

The ZTF Source Classification Project - II. Periodicity and variability processing metrics

Michael W. Coughlin, Kevin Burdge, Dmitry A. Duev, Michael L. Katz, Jan Van Roestel, Andrew Drake, Matthew J. Graham, Lynne Hillenbrand, Ashish A. Mahabal, Frank J. Masci, Przemek Mróz, Thomas A. Prince, Yuhan Yao, Eric C. Bellm, Rick Burruss, Richard Dekany, Amruta Jaodand, David L. Kaplan, Thomas Kupfer, Russ R. LaherReed Riddle, Mickael Rigault, Hector Rodriguez, Ben Rusholme, Jeffry Zolkower

Physics and Astronomy (Twin Cities)

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The current generation of all-sky surveys is rapidly expanding our ability to study variable and transient sources. These surveys, with a variety of sensitivities, cadences, and fields of view, probe many ranges of time-scale and magnitude. Data from the Zwicky Transient Facility (ZTF) yields an opportunity to find variables on time-scales from minutes to months. In this paper, we present the codebase, ztfperiodic, and the computational metrics employed for the catalogue based on ZTF's Second Data Release. We describe the publicly available, graphical-process-unit optimized period-finding algorithms employed, and highlight the benefit of existing and future graphical-process-unit clusters. We show how generating metrics as input to catalogues of this scale is possible for future ZTF data releases. Further work will be needed for future data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time.

Original language	English (US)
Pages (from-to)	2954-2965
Number of pages	12
Journal	Monthly Notices of the Royal Astronomical Society
Volume	505
Issue number	2
DOIs	https://doi.org/10.1093/mnras/stab1502
State	Published - Aug 1 2021

Bibliographical note

Funding Information:
This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231 under project ?Towards a complete catalog of variable sources to support efficient searches for compact binary mergers and their products.? This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) COMET at SDSU through allocationAST200016.MLKalso acknowledges the computational resources and staff contributions provided for the Quest/Grail high performance computing facility at Northwestern University

Publisher Copyright:
© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.

Keywords

catalogues
methods: data analysis
stars: statistics
surveys
techniques: photometric

Publisher link

10.1093/mnras/stab1502

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Coughlin, M. W., Burdge, K., Duev, D. A., Katz, M. L., Van Roestel, J., Drake, A., Graham, M. J., Hillenbrand, L., Mahabal, A. A., Masci, F. J., Mróz, P., Prince, T. A., Yao, Y., Bellm, E. C., Burruss, R., Dekany, R., Jaodand, A., Kaplan, D. L., Kupfer, T., ... Zolkower, J. (2021). The ZTF Source Classification Project - II. Periodicity and variability processing metrics. Monthly Notices of the Royal Astronomical Society, 505(2), 2954-2965. https://doi.org/10.1093/mnras/stab1502

Coughlin, MW, Burdge, K, Duev, DA, Katz, ML, Van Roestel, J, Drake, A, Graham, MJ, Hillenbrand, L, Mahabal, AA, Masci, FJ, Mróz, P, Prince, TA, Yao, Y, Bellm, EC, Burruss, R, Dekany, R, Jaodand, A, Kaplan, DL, Kupfer, T, Laher, RR, Riddle, R, Rigault, M, Rodriguez, H, Rusholme, B & Zolkower, J 2021, 'The ZTF Source Classification Project - II. Periodicity and variability processing metrics', Monthly Notices of the Royal Astronomical Society, vol. 505, no. 2, pp. 2954-2965. https://doi.org/10.1093/mnras/stab1502

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abstract = "The current generation of all-sky surveys is rapidly expanding our ability to study variable and transient sources. These surveys, with a variety of sensitivities, cadences, and fields of view, probe many ranges of time-scale and magnitude. Data from the Zwicky Transient Facility (ZTF) yields an opportunity to find variables on time-scales from minutes to months. In this paper, we present the codebase, ztfperiodic, and the computational metrics employed for the catalogue based on ZTF's Second Data Release. We describe the publicly available, graphical-process-unit optimized period-finding algorithms employed, and highlight the benefit of existing and future graphical-process-unit clusters. We show how generating metrics as input to catalogues of this scale is possible for future ZTF data releases. Further work will be needed for future data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time.",

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author = "Coughlin, {Michael W.} and Kevin Burdge and Duev, {Dmitry A.} and Katz, {Michael L.} and {Van Roestel}, Jan and Andrew Drake and Graham, {Matthew J.} and Lynne Hillenbrand and Mahabal, {Ashish A.} and Masci, {Frank J.} and Przemek Mr{\'o}z and Prince, {Thomas A.} and Yuhan Yao and Bellm, {Eric C.} and Rick Burruss and Richard Dekany and Amruta Jaodand and Kaplan, {David L.} and Thomas Kupfer and Laher, {Russ R.} and Reed Riddle and Mickael Rigault and Hector Rodriguez and Ben Rusholme and Jeffry Zolkower",

note = "Funding Information: This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231 under project ?Towards a complete catalog of variable sources to support efficient searches for compact binary mergers and their products.? This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. This work used the Extreme Science and Engineering Discovery Environment (XSEDE) COMET at SDSU through allocationAST200016.MLKalso acknowledges the computational resources and staff contributions provided for the Quest/Grail high performance computing facility at Northwestern University Publisher Copyright: {\textcopyright} 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.",

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AU - Burdge, Kevin

AU - Duev, Dmitry A.

AU - Katz, Michael L.

AU - Van Roestel, Jan

AU - Drake, Andrew

AU - Graham, Matthew J.

AU - Hillenbrand, Lynne

AU - Mahabal, Ashish A.

AU - Masci, Frank J.

AU - Mróz, Przemek

AU - Prince, Thomas A.

AU - Yao, Yuhan

AU - Bellm, Eric C.

AU - Burruss, Rick

AU - Dekany, Richard

AU - Jaodand, Amruta

AU - Kaplan, David L.

AU - Kupfer, Thomas

AU - Laher, Russ R.

AU - Riddle, Reed

AU - Rigault, Mickael

AU - Rodriguez, Hector

AU - Rusholme, Ben

AU - Zolkower, Jeffry

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KW - methods: data analysis

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KW - techniques: photometric

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The ZTF Source Classification Project - II. Periodicity and variability processing metrics

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