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The Large Synoptic Survey Telescope (LSST) project will conduct a ten yearmulti-band survey starting in 2022. Observing strategies for this survey arebeing actively investigated, and the science capabilities can be bestforecasted on the basis of simulated strategies from the LSST OperationsSimulator (OpSim). OpSim simulates a stochastic realization of the sequence ofLSST pointings over the survey duration, and is based on a model of theobservatory (including telescope) and historical data of observationalconditions. OpSim outputs contain a record of each simulated pointing of thesurvey along with a complete characterization of the pointing in terms ofobserving conditions, and some useful quantities derived from thecharacteristics of the pointing. Thus, each record can be efficiently used toderive the properties of observations of all astrophysical sources found inthat 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 allobservations of an astrophysical source, and iterate over sources. In thisdocument, we describe the open source python package OpSimSummary which allowsfor a convenient reordering. The objectives of this package are to provideusers with an Application Programming Interface (API) for accessing all suchobservations and summarizing this information in the form intermediate dataproducts usable by third party software such as SNANA, thereby also bridgingthe gap between official LSST products and pre-existing simulation codes.

Enabling catalog simulations of transient and variable sources based on LSST cadence strategies