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Synthetic Tracking Using ZTF Deep Drilling Data Sets

Zhai, Chengxing and Ye, Quanzhi and Shao, Michael and Trahan, Russell and Saini, Navtej S. and Shen, Janice and Prince, Thomas A. and Bellm, Eric C. and Graham, Matthew J. and Helou, George and Kulkarni, Shrinivas R. and Kupfer, Thomas and Laher, Russ R. and Mahabal, Ashish and Masci, Frank J. and Rusholme, Ben and Rosnet, Philippe and Shupe, David L. (2020) Synthetic Tracking Using ZTF Deep Drilling Data Sets. Publications of the Astronomical Society of the Pacific, 132 (1012). Art. No. 064502. ISSN 0004-6280. doi:10.1088/1538-3873/ab828b.

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The Zwicky Transit Facility (ZTF) is a powerful time domain survey telescope with a large field of view of 47 deg². We apply the synthetic tracking technique to integrate a ZTF's deep drilling data set, which consists of 133 nominal 30 s exposure frames spanning about 1.5 hr, to search for slowly moving asteroids down to approximately 23rd magnitude. We found 1168 objects from searching 40 of the 64 CCD-quadrant subfields, each of which covers a field size of about 0.73 deg². While most of the objects are in the core region of the asteroid belt, there are asteroids belonging to families of Trojan, Hilda, Hungaria, Phocaea, and near-Earth-asteroids. Such an approach is effective and productive for discovering new asteroids. Here we report the data processing and results as well as discuss a potential deep drilling operation mode using this approach for survey facilities.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Zhai, Chengxing0000-0002-0291-4522
Ye, Quanzhi0000-0002-4838-7676
Prince, Thomas A.0000-0002-8850-3627
Bellm, Eric C.0000-0001-8018-5348
Graham, Matthew J.0000-0002-3168-0139
Helou, George0000-0003-3367-3415
Kulkarni, Shrinivas R.0000-0001-5390-8563
Kupfer, Thomas0000-0002-6540-1484
Laher, Russ R.0000-0003-2451-5482
Mahabal, Ashish0000-0003-2242-0244
Masci, Frank J.0000-0002-8532-9395
Rusholme, Ben0000-0001-7648-4142
Shupe, David L.0000-0003-4401-0430
Alternate Title:Synthetic tracking using ZTF Long Dwell Datasets
Additional Information:© 2020 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 2020 January 13; accepted 2020 March 23; published 2020 April 21. We thank the anonymous reviewer of this paper for many constructive comments that helped us improve the manuscript. These results are based on observations obtained with the Samuel Oschin 48 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, 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 COO, IPAC, and UW. This work has made use of data from the European Space Agency (ESA) mission Gaia (, processed by the Gaia Data Processing and Analysis Consortium (DPAC, Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. The work described here was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Copyright 2019. Government sponsorship acknowledged.
Group:Zwicky Transient Facility, Astronomy Department, Infrared Processing and Analysis Center (IPAC)
Funding AgencyGrant Number
Infrared Processing and Analysis Center (IPAC)UNSPECIFIED
Weizmann Institute of ScienceUNSPECIFIED
Stockholm UniversityUNSPECIFIED
University of MarylandUNSPECIFIED
University of WashingtonUNSPECIFIED
Deutsches Elektronen-SynchrotronUNSPECIFIED
Humboldt UniversityUNSPECIFIED
Los Alamos National LaboratoryUNSPECIFIED
University of Wisconsin-MilwaukeeUNSPECIFIED
Lawrence Berkeley National LaboratoryUNSPECIFIED
Gaia Multilateral AgreementUNSPECIFIED
Subject Keywords:astronomical object indentification – astronomy data analysis – astronomy data reduction – detection – GPU computing
Issue or Number:1012
Record Number:CaltechAUTHORS:20190802-105703823
Persistent URL:
Official Citation:Chengxing Zhai et al 2020 PASP 132 064502
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:97616
Deposited By: Joy Painter
Deposited On:02 Aug 2019 18:29
Last Modified:16 Nov 2021 17:33

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