The Zwicky Transient Facility: Data Processing, Products, and Archive
Frank J. Masci, Russ R. Laher, Ben Rusholme, David L. Shupe, Steven, Groom, Jason Surace, Edward Jackson, Serge Monkewitz, Ron Beck, David Flynn,, Scott Terek, Walter Landry, Eugean Hacopians, Vandana Desai, Justin Howell,, Tim Brooke, David Imel, Stefanie Wachter, Quan-Zhi Ye

TL;DR
The Zwicky Transient Facility (ZTF) is a robotic sky survey that rapidly detects and processes transient astronomical events using advanced data pipelines, alert systems, and machine learning, enabling diverse time-domain astrophysics research.
Contribution
This paper introduces the ZTF data processing system, including a novel image-differencing algorithm, machine-learned alert vetting, and efficient data products for broad scientific applications.
Findings
Real-time alert distribution within 13 minutes of observation
High astrometric accuracy of 45-85 milliarcsec
Photometric calibration accuracy better than 2%
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, 5sigma 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 realtime 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…
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