Optimising LSST Observing Strategy for Weak Lensing Systematics
Husni Almoubayyed, Rachel Mandelbaum, Humna Awan, Eric Gawiser, R., Lynne Jones, Joshua Meyers, J. Anthony Tyson, Peter Yoachim, The LSST Dark, Energy Science Collaboration

TL;DR
This paper investigates how different dithering strategies in the LSST survey can mitigate weak lensing systematics, finding that random translational and rotational dithering significantly improve systematic control, with trade-offs considered for survey design.
Contribution
It introduces and tests specific dithering strategies to reduce weak lensing systematics in LSST, providing practical recommendations for survey planning.
Findings
Random dithering strategies improve systematics control by up to 4 times.
Increasing the number of exposures per filter reduces additive shear systematics.
Trade-offs exist between systematic mitigation and survey constraints.
Abstract
The LSST survey will provide unprecedented statistical power for measurements of dark energy. Consequently, controlling systematic uncertainties is becoming more important than ever. The LSST observing strategy will affect the statistical uncertainty and systematics control for many science cases; here, we focus on weak lensing systematics. The fact that the LSST observing strategy involves hundreds of visits to the same sky area provides new opportunities for systematics mitigation. We explore these opportunities by testing how different dithering strategies (pointing offsets and rotational angle of the camera in different exposures) affect additive weak lensing shear systematics on a baseline operational simulation, using the statistics formalism. Some dithering strategies improve systematics control at the end of the survey by a factor of up to better than others.…
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