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The Zwicky Transient Facility: Data Processing, Products, and Archive

Authors :
Masci, Frank J.
Laher, Russ R.
Rusholme, Ben
Shupe, David L.
Groom, Steven
Surace, Jason
Jackson, Edward
Monkewitz, Serge
Beck, Ron
Flynn, David
Terek, Scott
Landry, Walter
Hacopians, Eugean
Desai, Vandana
Howell, Justin
Brooke, Tim
Imel, David
Wachter, Stefanie
Ye, Quan-Zhi
Lin, Hsing-Wen
Cenko, S. Bradley
Cunningham, Virginia
Rebbapragada, Umaa
Bue, Brian
Miller, Adam A.
Mahabal, Ashish
Bellm, Eric C.
Patterson, Maria T.
Juric, Mario
Golkhou, V. Zach
Ofek, Eran O.
Walters, Richard
Graham, Matthew
Kasliwal, Mansi M.
Dekany, Richard G.
Kupfer, Thomas
Burdge, Kevin
Cannella, Christopher B.
Barlow, Tom
Sistine, Angela Van
Giomi, Matteo
Fremling, Christoffer
Blagorodnova, Nadejda
Levitan, David
Riddle, Reed
Smith, Roger M.
Helou, George
Prince, Thomas A.
Kulkarni, Shrinivas R.
Source :
Publications of the Astronomical Society of the Pacific; January 2019, Vol. 131 Issue: 995 p018003-018003, 1p
Publication Year :
2019

Abstract

The Zwicky Transient Facility (ZTF) is a new robotic time-domain survey currently in progress using the Palomar 48-inch Schmidt Telescope. ZTF uses a 47 square degree field with a 600 megapixel camera to scan the entire northern visible sky at rates of ?3760 square degrees/hour to median depths of g? 20.8 and r? 20.6 mag (AB, 5?in 30 sec). We describe the Science Data System that is housed at IPAC, Caltech. This comprises the data-processing pipelines, alert production system, data archive, and user interfaces for accessing and analyzing the products. The real-time pipeline employs a novel image-differencing algorithm, optimized for the detection of point-source transient events. These events are vetted for reliability using a machine-learned classifier and combined with contextual information to generate data-rich alert packets. The packets become available for distribution typically within 13 minutes (95th percentile) of observation. Detected events are also linked to generate candidate moving-object tracks using a novel algorithm. Objects that move fast enough to streak in the individual exposures are also extracted and vetted. We present some preliminary results of the calibration performance delivered by the real-time pipeline. The reconstructed astrometric accuracy per science image with respect to GaiaDR1 is typically 45 to 85 milliarcsec. This is the RMS per-axis on the sky for sources extracted with photometric S/N ? 10 and hence corresponds to the typical astrometric uncertainty down to this limit. The derived photometric precision (repeatability) at bright unsaturated fluxes varies between 8 and 25 millimag. The high end of these ranges corresponds to an airmass approaching ?2-the limit of the public survey. Photometric calibration accuracy with respect to Pan-STARRS1 is generally better than 2%. The products support a broad range of scientific applications: fast and young supernovae; rare flux transients; variable stars; eclipsing binaries; variability from active galactic nuclei; counterparts to gravitational wave sources; a more complete census of Type Ia supernovae; and solar-system objects.

Details

Language :
English
ISSN :
00046280 and 15383873
Volume :
131
Issue :
995
Database :
Supplemental Index
Journal :
Publications of the Astronomical Society of the Pacific
Publication Type :
Periodical
Accession number :
ejs56698764
Full Text :
https://doi.org/10.1088/1538-3873/aae8ac