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Machine Learning for the Zwicky Transient Facility

Mahabal, Ashish and Walters, Richard and Masci, Frank J. and Blagorodnova, Nadejda and Ye, Quan-Zhi and Burdge, Kevin and Duev, Dmitry A. and Adams, Scott and Cannella, Chris and Dekany, Richard and Fremling, C. and Groom, Steven and Kasliwal, Mansi M. and Kulkarni, Shrinivas and Kupfer, Thomas and Prince, Thomas A. and Riddle, Reed and Rusholme, Ben and Shupe, David L. and Tachibana, Yutaro and Tirumala, Kushal (2019) Machine Learning for the Zwicky Transient Facility. Publications of the Astronomical Society of the Pacific, 131 (997). Art. No. 038002. ISSN 0004-6280.

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The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night. We describe here various machine learning (ML) implementations and plans to make the maximal use of the large data set by taking advantage of the temporal nature of the data, and further combining it with other data sets. We start with the initial steps of separating bogus candidates from real ones, separating stars and galaxies, and go on to the classification of real objects into various classes. Besides the usual methods (e.g., based on features extracted from light curves) we also describe early plans for alternate methods including the use of domain adaptation, and deep learning. In a similar fashion we describe efforts to detect fast moving asteroids. We also describe the use of the Zooniverse platform for helping with classifications through the creation of training samples, and active learning. Finally we mention the synergistic aspects of ZTF and LSST from the ML perspective.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Mahabal, Ashish0000-0003-2242-0244
Walters, Richard0000-0002-1835-6078
Masci, Frank J.0000-0002-8532-9395
Blagorodnova, Nadejda0000-0003-0901-1606
Ye, Quan-Zhi0000-0002-4838-7676
Burdge, Kevin0000-0002-7226-836X
Duev, Dmitry A.0000-0001-5060-8733
Adams, Scott0000-0001-5855-5939
Cannella, Chris0000-0003-2667-7290
Fremling, C.0000-0002-4223-103X
Groom, Steven0000-0001-5668-3507
Kasliwal, Mansi M.0000-0002-5619-4938
Kulkarni, Shrinivas0000-0001-5390-8563
Kupfer, Thomas0000-0002-6540-1484
Prince, Thomas A.0000-0002-8850-3627
Riddle, Reed0000-0002-0387-370X
Rusholme, Ben0000-0001-7648-4142
Shupe, David L.0000-0003-4401-0430
Tachibana, Yutaro0000-0001-6584-6945
Additional Information:© 2019. The Astronomical Society of the Pacific. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2018 September 4; accepted 2018 November 26; published 2019 January 31. 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. Major funding has been provided by the U.S. National Science Foundation under Grant No. AST-1440341 and by the ZTF partner institutions: the California Institute of Technology, the Oskar Klein Centre, the Weizmann Institute of Science, the University of Maryland, the University of Washington, Deutsches Elektronen-Synchrotron, the University of Wisconsin-Milwaukee, and the TANGO Program of the University System of Taiwan. Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Facilities: PO:1.2m - , PO:1.5m. -
Group:Infrared Processing and Analysis Center (IPAC), Zwicky Transient Facility
Funding AgencyGrant Number
ZTF partner institutionsUNSPECIFIED
Issue or Number:997
Record Number:CaltechAUTHORS:20190131-104830427
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Official Citation:Ashish Mahabal et al 2019 PASP 131 038002
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92541
Deposited By: George Porter
Deposited On:31 Jan 2019 23:11
Last Modified:18 Nov 2019 20:57

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