69 citations · 194 across the 15 of their papers we have counts for
16 papers
The Deep Learning Halo Definer: A Multimodal Framework for Halo Mass and Gas Fraction Inference on Galaxy Groups and Clusters
Caleb Ogle, Kalvyn N. Poncelet Adams, Benjamin D. Oppenheimer +5
Accurately inferring dark matter halo properties like the total halo mass (M_{halo}) and gas fractions (f_{gas}) remains particularly challenging at group scales, where low member…
CNN-Based Inference of Gaseous Halo Properties from Synthetic X-ray and 21-cm HI Observations
Kalvyn N. Poncelet Adams, Benjamin D. Oppenheimer, Naomi Gluck +3
Quantifying the information content in multi-wavelength observations is critical for setting exposure times for upcoming X-ray and 21-cm HI radio surveys. We train convolutional ne…
RTFAST-Spectra: Emulation of X-ray reverberation mapping for active galactic nuclei
Benjamin Ricketts, Daniela Huppenkothen, Matteo Lucchini +4
Bayesian analysis has begun to be more widely adopted in X-ray spectroscopy, but it has largely been constrained to relatively simple physical models due to limitations in X-ray mo…
Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering
Chirag Modi, Shivam Pandey, Matthew Ho +3
Simulation-based inference (SBI) is a promising approach to leverage high fidelity cosmological simulations and extract information from the non-Gaussian, non-linear scales that ca…
Information-Ordered Bottlenecks for Adaptive Semantic Compression
Matthew Ho, Xiaosheng Zhao, Benjamin Wandelt
We present the information-ordered bottleneck (IOB), a neural layer designed to adaptively compress data into latent variables ordered by likelihood maximization. Without retrainin…
Posterior Sampling of the Initial Conditions of the Universe from Non-linear Large Scale Structures using Score-Based Generative Models
Ronan Legin, Matthew Ho, Pablo Lemos +4
Reconstructing the initial conditions of the universe is a key problem in cosmology. Methods based on simulating the forward evolution of the universe have provided a way to infer…