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Dark Energy Survey’s Observation Strategy, Tactics, and Exposure Scheduler

Authors :
Stephen J. Kent
H. Thomas Diehl
Eric H. Neilsen
Chris B. D'Andrea
Molly E. C. Swanson
Alex Drlica-Wagner
James Annis
Publication Year :
2019
Publisher :
Office of Scientific and Technical Information (OSTI), 2019.

Abstract

The Dark Energy Survey is a stage III dark energy experiment, performing an optical imaging survey to measure cosmological equation of state parameters using four independent methods. The scope and complexity of the survey introduced complex strategic and tactical scheduling problems that needed to be addressed. We begin with an overview of the process used to develop DES strategy and tactics, from the inception of the project, to task forces that studied and developed strategy changes over the course of the survey, to the nightly pre-observing meeting in which immediate tactical issues were addressed. We then summarize the strategic choices made for each sub-survey, including metrics, scheduling considerations, choice of time domain fields and their sequences of exposures, and wide survey footprint and pointing layout choices. We go on to describe the detailed process that determined which specific exposures were taken at which specific times. We give a chronology of the strategic and tactical peculiarities of each year of observing, including the proposal and execution of a sixth year. We give an overview of obstac, the implementation of the DES scheduler used to simulate and evaluate strategic and tactical options, and automate exposure scheduling; and describe developments in obstac for use after DES. Appendices describe further details of data quality evaluation, tau, and t_eff; airmass calculation; and modeling of the seeing and sky brightness. The significant corpus of DES data indicates that the simple scaling relations for seeing as a function of wavelength and airmass derived from the Kolmogorov turbulence model work adequately for exposure planning purposes: deviations from these relations are modest in comparison with short time-scale seeing variations.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........ec63ca4d467ae2672de7d15ab89f252c
Full Text :
https://doi.org/10.2172/1574836