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Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey

Publication ,  Journal Article
Lochner, M; Scolnic, DM; Awan, H; Regnault, N; Gris, P; Mandelbaum, R; Gawiser, E; Almoubayyed, H; Setzer, CN; Huber, S; Graham, ML; Hložek, R ...
November 15, 2018

Cosmology is one of the four science pillars of LSST, which promises to be transformative for our understanding of dark energy and dark matter. The LSST Dark Energy Science Collaboration (DESC) has been tasked with deriving constraints on cosmological parameters from LSST data. Each of the cosmological probes for LSST is heavily impacted by the choice of observing strategy. This white paper is written by the LSST DESC Observing Strategy Task Force (OSTF), which represents the entire collaboration, and aims to make recommendations on observing strategy that will benefit all cosmological analyses with LSST. It is accompanied by the DESC DDF (Deep Drilling Fields) white paper (Scolnic et al.). We use a variety of metrics to understand the effects of the observing strategy on measurements of weak lensing, large-scale structure, clusters, photometric redshifts, supernovae, strong lensing and kilonovae. In order to reduce systematic uncertainties, we conclude that the current baseline observing strategy needs to be significantly modified to result in the best possible cosmological constraints. We provide some key recommendations: moving the WFD (Wide-Fast-Deep) footprint to avoid regions of high extinction, taking visit pairs in different filters, changing the 2x15s snaps to a single exposure to improve efficiency, focusing on strategies that reduce long gaps (>15 days) between observations, and prioritizing spatial uniformity at several intervals during the 10-year survey.

Duke Scholars

Publication Date

November 15, 2018
 

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Lochner, M., Scolnic, D. M., Awan, H., Regnault, N., Gris, P., Mandelbaum, R., … Yoachim, P. (2018). Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey.
Lochner, Michelle, Daniel M. Scolnic, Humna Awan, Nicolas Regnault, Philippe Gris, Rachel Mandelbaum, Eric Gawiser, et al. “Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey,” November 15, 2018.
Lochner M, Scolnic DM, Awan H, Regnault N, Gris P, Mandelbaum R, et al. Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey. 2018 Nov 15;
Lochner M, Scolnic DM, Awan H, Regnault N, Gris P, Mandelbaum R, Gawiser E, Almoubayyed H, Setzer CN, Huber S, Graham ML, Hložek R, Biswas R, Eifler T, Rothchild D, Jr TA, Blazek J, Chang C, Collett T, Goobar A, Hook IM, Jarvis M, Jha SW, Kim AG, Marshall P, McEwen JD, Moniez M, Newman JA, Peiris HV, Petrushevska T, Rhodes J, Sevilla-Noarbe I, Slosar A, Suyu SH, Tyson JA, Yoachim P. Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey. 2018 Nov 15;

Publication Date

November 15, 2018