14 citations · 47 across the 7 of their papers we have counts for
7 papers
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…
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics
Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum
Diffusion-based generative models represent the current state-of-the-art for image generation. However, standard diffusion models are based on Euclidean geometry and do not transla…
Accurate field-level weak lensing inference for precision cosmology
Alan Junzhe Zhou, Xiangchong Li, Scott Dodelson +1
We present , a catalog-to-cosmology pipeline for general flat-sky field-level inference, which provides access to cosmological information beyond the two-point stati…
An Empirical Model For Intrinsic Alignments: Insights From Cosmological Simulations
Nicholas Van Alfen, Duncan Campbell, Jonathan Blazek +5
We extend current models of the halo occupation distribution (HOD) to include a flexible, empirical framework for the forward modeling of the intrinsic alignment (IA) of galaxies.…
Snowmass2021: Vera C. Rubin Observatory as a Flagship Dark Matter Experiment
Yao-Yuan Mao, Annika H. G. Peter, Susmita Adhikari +30
Establishing that Vera C. Rubin Observatory is a flagship dark matter experiment is an essential pathway toward understanding the physical nature of dark matter. In the past two de…