4 papers
DeepCQ: General-Purpose Deep-Surrogate Framework for Lossy Compression Quality Prediction
Khondoker Mirazul Mumenin, Robert Underwood, Dong Dai +4
Error-bounded lossy compression techniques have become vital for scientific data management and analytics, given the ever-increasing volume of data generated by modern scientific s…
diffhydro: Inverse Multiphysics Modeling and Embedded Machine Learning in Astrophysical Flows
Benjamin Horowitz, Zarija LukiÄ, Kentaro Nagamine +1
We present the extension of the differentiable hydrodynamics code, diffhydro, enabling scalable PDE-constrained inference and integrated hybrid physics-ML models for a wide range o…
Nyx-RT: Adaptive Ray Tracing in the Nyx Hydrodynamical Code
Nathan X. Marshak, Kathlynn Simotas, Zarija LukiÄ +3
Numerical methods for radiative transfer play a key role in modern-day astrophysics and cosmology, including study of the inhomogeneous reionization process. In this context, ray t…
Analytic Model for Scattered Ly Emission in the Post-reionization Intergalactic Medium
Hyunbae Park, Hyunmi Song, Chris Byrohl +3
Ly intensity mapping is emerging as a new probe of faint galaxies consisting the cosmic web that elude traditional surveys. However, the resonant nature of Ly radiative tra…