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Real-bogus classification for the Zwicky Transient Facility using deep learning

Duev, Dmitry A. and Mahabal, Ashish and Masci, Frank J. and Graham, Matthew J. and Rusholme, Ben and Walters, Richard and Karmarkar, Ishani and Frederick, Sara and Kasliwal, Mansi M. and Rebbapragada, Umaa and Ward, Charlotte (2019) Real-bogus classification for the Zwicky Transient Facility using deep learning. . (Submitted) http://resolver.caltech.edu/CaltechAUTHORS:20190802-110143722

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Abstract

Efficient automated detection of flux-transient, reoccurring flux-variable, and moving objects is increasingly important for large-scale astronomical surveys. We present braai, a convolutional-neural-network, deep-learning real/bogus classifier designed to separate genuine astrophysical events and objects from false positive, or bogus, detections in the data of the Zwicky Transient Facility (ZTF), a new robotic time-domain survey currently in operation at the Palomar Observatory in California, USA. Braai demonstrates a state-of-the-art performance as quantified by its low false negative and false positive rates. We describe the open-source software tools used internally at Caltech to archive and access ZTF's alerts and light curves (Kowalski), and to label the data (Zwickyverse). We also report the initial results of the classifier deployment on the Edge Tensor Processing Units (TPUs) that show comparable performance in terms of accuracy, but in a much more (cost-) efficient manner, which has significant implications for current and future surveys.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/1907.11259arXivDiscussion Paper
ORCID:
AuthorORCID
Duev, Dmitry A.0000-0001-5060-8733
Mahabal, Ashish0000-0003-2242-0244
Masci, Frank J.0000-0002-8532-9395
Graham, Matthew J.0000-0002-3168-0139
Rusholme, Ben0000-0001-7648-4142
Walters, Richard0000-0002-1835-6078
Kasliwal, Mansi M.0000-0002-5619-4938
Rebbapragada, Umaa0000-0002-2560-3495
Additional Information:DAD and MJG acknowledge support from the HeisingSimons Foundation under Grant No. 12540303. AM and MJG acknowledge support from the NSF (1640818, AST1815034), and IUSSTF (JC-001/2017). MMK acknowledges support by the GROWTH project funded by the NSF under Grant No. 1545949. Based on observations obtained with the Samuel Oschin Telescope 48-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. The authors are grateful to Eran Ofek for useful discussions.
Group:Zwicky Transient Facility, Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
Heising-Simons Foundation12540303
NSFOAC-1640818
NSFAST-1815034
NSFOISE-1545949
NSFAST-1440341
NASA/JPL/CaltechUNSPECIFIED
Indo-US Science and Technology ForumJC-001/2017
ZTF partner institutionsUNSPECIFIED
Record Number:CaltechAUTHORS:20190802-110143722
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190802-110143722
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:97617
Collection:CaltechAUTHORS
Deposited By: Joy Painter
Deposited On:02 Aug 2019 18:27
Last Modified:02 Aug 2019 18:27

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