295 citations · 475 across the 6 of their papers we have counts for
6 papers
Differentiable Stochastic Halo Occupation Distribution with Galaxy Intrinsic Alignments
Sneh Pandya, Jonathan Blazek
We present diffHOD-IA, a fully differentiable implementation of a halo occupation distribution (HOD) model that incorporates galaxy intrinsic alignments (IA). Motivated by the diff…
IAEmu: Learning Galaxy Intrinsic Alignment Correlations
Sneh Pandya, Yuanyuan Yang, Nicholas Van Alfen +2
The intrinsic alignments (IA) of galaxies, a key contaminant in weak lensing analyses, arise from correlations in galaxy shapes driven by tidal interactions and galaxy formation pr…
Learning Galaxy Intrinsic Alignment Correlations
Sneh Pandya, Yuanyuan Yang, Nicholas Van Alfen +2
The intrinsic alignments (IA) of galaxies, regarded as a contaminant in weak lensing analyses, represents the correlation of galaxy shapes due to gravitational tidal interactions a…
E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
Sneh Pandya, Purvik Patel, Franc O +1
We propose the use of group convolutional neural network architectures (GCNNs) equivariant to the 2D Euclidean group, , for the task of galaxy morphology classification by ut…
Core Cosmology Library: Precision Cosmological Predictions for LSST
Nora Elisa Chisari, David Alonso, Elisabeth Krause +27
The Core Cosmology Library (CCL) provides routines to compute basic cosmological observables to a high degree of accuracy, which have been verified with an extensive suite of valid…
Cosmology from Cosmic Shear with DES Science Verification Data
The Dark Energy Survey Collaboration, T. Abbott, F. B. Abdalla +126
We present the first constraints on cosmology from the Dark Energy Survey (DES), using weak lensing measurements from the preliminary Science Verification (SV) data. We use 139 squ…