Synthetic Tracking Using ZTF Deep Drilling Data Sets
Abstract
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.
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 (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). 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.Attached Files
Published - Zhai_2020_PASP_132_064502.pdf
Submitted - 1907.11299.pdf
Files
| Name | Size | Download all |
|---|---|---|
|
md5:61065d2a7b80cc94e2e3a0f20bbcb815
|
1.5 MB | Preview Download |
|
md5:8e9e81d6166d6d0fcab5f4a19e714ab0
|
583.5 kB | Preview Download |
Additional details
- Alternative title
- Synthetic tracking using ZTF Long Dwell Datasets
- Eprint ID
- 97616
- Resolver ID
- CaltechAUTHORS:20190802-105703823
- NSF
- AST-1440341
- Caltech
- Infrared Processing and Analysis Center (IPAC)
- Weizmann Institute of Science
- Stockholm University
- University of Maryland
- University of Washington
- Deutsches Elektronen-Synchrotron
- Humboldt University
- Los Alamos National Laboratory
- TANGO Consortium
- University of Wisconsin-Milwaukee
- Lawrence Berkeley National Laboratory
- Gaia Multilateral Agreement
- NASA/JPL/Caltech
- Created
-
2019-08-02Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Zwicky Transient Facility, Astronomy Department, Infrared Processing and Analysis Center (IPAC), Division of Geological and Planetary Sciences