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

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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 languageEnglish (US)
Pages (from-to)2954-2965
Number of pages12
JournalMonthly Notices of the Royal Astronomical Society
Issue number2
StatePublished - 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.


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


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