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Enabling Catalog Simulations of Transient and Variable Sources Based on LSST Cadence Strategies

Journal Article · · The Astrophysical Journal. Supplement Series (Online)
 [1];  [2];  [3];  [4];  [2]
  1. Stockholm Univ. (Sweden). The Oskar Klein Center for Cosmoparticle Physics; Univ. of Washington, Seattle, WA (United States); Univ. of Washington, Seattle, WA (United States). The eScience Inst.
  2. Univ. of Washington, Seattle, WA (United States)
  3. Univ. of Toronto, ON (Canada); Univ. of Toronto, ON (Canada). Dunlap Inst. for Astronomy and Astrophysics
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
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The American Astronomical Society. All rights reserved.. The Large Synoptic Survey Telescope (LSST) project will conduct a 10 year multi-band survey starting in 2022. Observing strategies for this survey are being actively investigated, and the science capabilities can be best forecasted on the basis of simulated strategies from the LSST Operations Simulator (OpSim). This paper describes the way in which OpSim simulates a stochastic realization of the sequence of LSST pointings over the survey duration, and is based on a model of the observatory (including telescope) and historical data of observational conditions. OpSim outputs contain a record of each simulated pointing of the survey along with a complete characterization of the pointing in terms of observing conditions, and some useful quantities derived from the characteristics of the pointing. Thus, each record can be efficiently used to derive the properties of observations of all astrophysical sources found in that pointing. However, in order to obtain the time series of observations (light curves) of a set of sources, it is often more convenient to compute all observations of an astrophysical source, and iterate over sources. In this document, we describe the open source python package OpSimSummary, which allows for a convenient reordering. The objectives of this package are to provide users with an Application Programming Interface for accessing all such observations and summarizing this information in the form of intermediate data products usable by third party software such as SNANA, thereby also bridging the gap between official LSST products and preexisting simulation codes.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC); Swedish Research Council (VR)
Contributing Organization:
LSST Dark Energy Science Collaboration
Grant/Contract Number:
AC02-05CH11231; AC02-76SF00515
OSTI ID:
1650085
Alternate ID(s):
OSTI ID: 23017044
Journal Information:
The Astrophysical Journal. Supplement Series (Online), Journal Name: The Astrophysical Journal. Supplement Series (Online) Journal Issue: 2 Vol. 247; ISSN 1538-4365
Publisher:
American Astronomical Society/IOPCopyright Statement
Country of Publication:
United States
Language:
English

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79 ASTRONOMY AND ASTROPHYSICS