The Zwicky Transient Facility: Surveys and Scheduler
E. BellmDIRAC Institute, Department of Astronomy, University of Washington, 3910 15th Avenue NE, Seattle, WA 98195, USA; [email protected]S. R. KulkarniDivision of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125, USATom A. BarlowDivision of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125, USAU. FeindtThe Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, SE-106 91 Stockholm, SwedenM. J. GrahamDivision of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125, USAA. GoobarThe Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, SE-106 91 Stockholm, SwedenT. KupferDepartment of Physics, University of California, Santa Barbara, CA 93106, USAChow‐Choong NgeowInstitute of Astronomy, National Central University, 32001, TaiwanP. NugentComputational Science Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 50B-4206, Berkeley, CA 94720, USAE. O. OfekBenoziyo Center for Astrophysics and the Helen Kimmel Center for Planetary Science, Weizmann Institute of Science, 76100 Rehovot, IsraelThomas A. PrinceDivision of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125, USAReed RiddleCaltech Optical Observatories, California Institute of Technology, Pasadena, CA 91125, USARichard WaltersCaltech Optical Observatories, California Institute of Technology, Pasadena, CA 91125, USAQuanzhi YeDivision of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
2019en
ABI
Аннотация
We present a novel algorithm for scheduling the observations of time-domain imaging surveys. Our integer linear programming approach optimizes an observing plan for an entire night by assigning targets to temporal blocks, enabling strict control of the number of exposures obtained per field and minimizing filter changes. A subsequent optimization step minimizes slew times between each observation. Our optimization metric self-consistently weights contributions from time-varying airmass, seeing, and sky brightness to maximize the transient discovery rate. We describe the implementation of this algorithm on the surveys of the Zwicky Transient Facility and present its on-sky performance.
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