340 citations · 2.7k across the 45 of their papers we have counts for
8 papers · 1 filter
Emulating cosmological growth functions with B-Splines
Ngai Pok Kwan, Chirag Modi, Yin Li +1
In the light of GPU accelerations, sequential operations such as solving ordinary differential equations can be bottlenecks for gradient evaluations and hinder potential speed gain…
RSD measurements from BOSS galaxy power spectrum using the halo perturbation theory model
Byeonghee Yu, Uros Seljak, Yin Li +1
We present growth of structure constraints from the cosmological analysis of the power spectrum multipoles of SDSS-III BOSS DR12 galaxies. We use the galaxy power spectrum model of…
Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning
Yan-Mong Chan, Natascha Manger, Yin Li +4
We investigate the utility of deep learning for modeling the clustering of particles that are aerodynamically coupled to turbulent fluids. Using a Lagrangian particle module within…
Gravitational wave fossils in nonlinear regime: halo tidal bias and intrinsic alignments from gravitational wave separate universe simulations
Kazuyuki Akitsu, Yin Li, Teppei Okumura
We investigate impacts of long-wavelength gravitational waves (GWs) on nonlinear structure formation by utilizing the tidal separate universe simulations. Based on the equivalence…
Field Level Neural Network Emulator for Cosmological N-body Simulations
Drew Jamieson, Yin Li, Renan Alves de Oliveira +3
We build a field level emulator for cosmic structure formation that is accurate in the nonlinear regime. Our emulator consists of two convolutional neural networks trained to outpu…
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
Drew Jamieson, Yin Li, Siyu He +4
We train a neural network model to predict the full phase space evolution of cosmological N-body simulations. Its success implies that the neural network model is accurately approx…
Cosmology with one galaxy?
Francisco Villaescusa-Navarro, Jupiter Ding, Shy Genel +10
Galaxies can be characterized by many internal properties such as stellar mass, gas metallicity, and star-formation rate. We quantify the amount of cosmological and astrophysical i…
The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…