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Published August 2021 | Submitted + Published
Journal Article Open

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

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.

Additional Information

© 2021 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2020 September 15. Received 2020 September 15; in original form 2020 July 16. Published: 26 May 2021. The authors would like to thank our referee, Dr. Aren Heinze, for very useful reports, improving the content of the paper. MWC acknowledges support from the National Science Foundation with grant number PHY-2010970. MLK acknowledges support from the National Science Foundation under grant DGE-0948017 and the Chateaubriand Fellowship from the Office for Science & Technology of the Embassy of France in the United States. MR has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n759194 - USNAC). DK is supported by NSF grant AST-1816492. The authors acknowledge the Minnesota Supercomputing Institute9 (MSI) at the University of Minnesota for providing resources that contributed to the research results reported within this paper under project 'Identification of Variable Objects in the Zwicky Transient Facility.' 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 allocation AST200016. MLK also acknowledges the computational resources and staff contributions provided for the Quest/Grail high performance computing facility at Northwestern University. Based on observations obtained with the Samuel Oschin Telescope 48-inch and the 60-inch Telescope at the Palomar Observatory as part of the Zwicky Transient Facility project. ZTF is supported by the National Science Foundation under Grant No. AST-1440341 and a collaboration including Caltech, IPAC, the Weizmann Institute for Science, the Oskar Klein Center at Stockholm University, the University of Maryland, the University of Washington (UW), Deutsches Elektronen-Synchrotron and Humboldt University, Los Alamos National Laboratories, the TANGO Consortium of Taiwan, the University of Wisconsin at Milwaukee, and Lawrence Berkeley National Laboratories. Operations are conducted by Caltech Optical Observatories, IPAC, and UW. Data Availability: The data underlying this article are derived from public code found here: https://github.com/mcoughlin/ztfperiodic. DR2, including how to access the data, can be found at https://www.ztf.caltech.edu/page/dr2.

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Submitted - 2009.14071.pdf

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Additional details

Created:
August 20, 2023
Modified:
October 20, 2023