69 citations · 388 across the 23 of their papers we have counts for
9 papers · 1 filter
: A Forward Modeling Approach To Analyzing Galaxy Clustering
ChangHoon Hahn, Michael Eickenberg, Shirley Ho +7
We present the first-ever cosmological constraints from a simulation-based inference (SBI) analysis of galaxy clustering from the new forward modeling…
: Mock Challenge for a Forward Modeling Approach to Galaxy Clustering
ChangHoon Hahn, Michael Eickenberg, Shirley Ho +7
Simulation-Based Inference of Galaxies () is a forward modeling framework for analyzing galaxy clustering using simulation-based inference. In this work…
Towards a non-Gaussian Generative Model of large-scale Reionization Maps
Yu-Heng Lin, Sultan Hassan, Bruno Régaldo-Saint Blancard +2
High-dimensional data sets are expected from the next generation of large-scale surveys. These data sets will carry a wealth of information about the early stages of galaxy formati…
Generative Models of Multi-channel Data from a Single Example -- Application to Dust Emission
Bruno Régaldo-Saint Blancard, Erwan Allys, Constant Auclair +5
The quest for primordial -modes in the cosmic microwave background has emphasized the need for refined models of the Galactic dust foreground. Here, we aim at building a realist…
TNT: Vision Transformer for Turbulence Simulations
Yuchen Dang, Zheyuan Hu, Miles Cranmer +2
Turbulence is notoriously difficult to model due to its multi-scale nature and sensitivity to small perturbations. Classical solvers of turbulence simulation generally operate on f…
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks
Pablo Lemos, Miles Cranmer, Muntazir Abidi +5
Simulation-based inference (SBI) is rapidly establishing itself as a standard machine learning technique for analyzing data in cosmological surveys. Despite continual improvements…
Cosmological Information in the Marked Power Spectrum of the Galaxy Field
Elena Massara, Francisco Villaescusa-Navarro, ChangHoon Hahn +6
Marked power spectra are two-point statistics of a marked field obtained by weighting each location with a function that depends on the local density around that point. We consider…
Wavelet Moments for Cosmological Parameter Estimation
Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah +10
Extracting non-Gaussian information from the non-linear regime of structure formation is key to fully exploiting the rich data from upcoming cosmological surveys probing the large-…
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…