14 citations · 47 across the 7 of their papers we have counts for
3 papers · 1 filter
Geometric deep learning for galaxy-halo connection: a case study for galaxy intrinsic alignments
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
Forthcoming cosmological imaging surveys, such as the Rubin Observatory LSST, require large-scale simulations encompassing realistic galaxy populations for a variety of scientific…
Joint inference of multiplicative and additive systematics in galaxy density fluctuations and clustering measurements
Federico Berlfein, Rachel Mandelbaum, Scott Dodelson +1
Galaxy clustering measurements are a key probe of the matter density field in the Universe. With the era of precision cosmology upon us, surveys rely on precise measurements of the…
Photometric redshifts and intrinsic alignments: degeneracies and biases in 32pt analysis
C. Danielle Leonard, Markus Michael Rau, Rachel Mandelbaum
We present a systematic study of cosmological parameter bias in weak lensing and large-scale structure analyses for upcoming imaging surveys induced by the interplay of intrinsic a…