The ZTF Source Classification Project – II. Periodicity and variability processing metrics
| Autor: | Jan van Roestel, Thomas Kupfer, Ashish Mahabal, Kevin B. Burdge, Ben Rusholme, Yuhan Yao, Eric C. Bellm, Rick Burruss, Thomas A. Prince, Lynne A. Hillenbrand, Reed Riddle, Michael L. Katz, David L. Kaplan, Dmitry A. Duev, Andrew J. Drake, Przemek Mróz, Matthew J. Graham, Amruta Jaodand, Hector Rodriguez, Frank J. Masci, M. Rigault, Michael W. Coughlin, Richard Dekany, Jeffry Zolkower, Russ R. Laher |
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| Přispěvatelé: | Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA) |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Physical sciences
computer.software_genre stars: statistics 01 natural sciences techniques: photometric surveys Observatory 0103 physical sciences Transient (computer programming) [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] 010306 general physics Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics Solar and Stellar Astrophysics (astro-ph.SR) catalogues Physics Astronomy and Astrophysics methods: data analysis Variable (computer science) Astrophysics - Solar and Stellar Astrophysics Space and Planetary Science Data mining Astrophysics - Instrumentation and Methods for Astrophysics [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] Scale (map) computer |
| Zdroj: | Mon.Not.Roy.Astron.Soc. Mon.Not.Roy.Astron.Soc., 2021, 505 (2), pp.2954-2965. ⟨10.1093/mnras/stab1502⟩ |
| ISSN: | 1365-2966 0035-8711 |
| DOI: | 10.1093/mnras/stab1502 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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