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Galaxy bias in the era of LSST: perturbative bias expansions

By Andrina Nicola and others at
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LogoBNL
Upcoming imaging surveys will allow for high signal-to-noise measurements of galaxy clustering at small scales. In this work, we present the results of the LSST bias challenge, the goal of which is to compare the performance of different nonlinear galaxy bias models in the context of LSST Y10 data. Specifically,... Show more
July 6, 2023
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Galaxy bias in the era of LSST: perturbative bias expansions
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