Speaker: Claire Lamman (Harvard)
How the tidal alignments of galaxies will biasclustering statistics for the DESI survey
DESI is surveying 40 million galaxies and will put new, stricter constraints on cosmological parameters. This means it's more important than ever to consider every possible source of systematic error. I'll describe how an orientation-dependent selection bias in DESI's Luminous Red Galaxy (LRG) sample combines with the intrinsic alignment of LRGs to mimic a RSD signal. I estimate the impact this will have on DESI's measurement of the quadrupole of the 2ptcorrelation function, demonstrating how a subtle effect can impact measurements on the largest scales.