489 citations · 949 across the 29 of their papers we have counts for
5 papers · 1 filter
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations
Junze Liu, Aishik Ghosh, Dylan Smith +2
Calorimeter shower simulations are often the bottleneck in simulation time for particle physics detectors. A lot of effort is currently spent on optimizing generative architectures…
Statistical Patterns of Theory Uncertainties
Aishik Ghosh, Benjamin Nachman, Tilman Plehn +3
A comprehensive uncertainty estimation is vital for the precision program of the LHC. While experimental uncertainties are often described by stochastic processes and well-defined…
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen, Biprateep Dey, Aishik Ghosh +3
Estimating uncertainty is at the core of performing scientific measurements in HEP: a measurement is not useful without an estimate of its uncertainty. The goal of uncertainty quan…
Deducing Neutron Star Equation of State Parameters Directly From Telescope Spectra with Uncertainty-Aware Machine Learning
Delaney Farrell, Pierre Baldi, Jordan Ott +6
Neutron stars provide a unique laboratory for studying matter at extreme pressures and densities. While there is no direct way to explore their interior structure, X-rays emitted f…
Towards a Deep Learning Model for Hadronization
Aishik Ghosh, Xiangyang Ju, Benjamin Nachman +1
Hadronization is a complex quantum process whereby quarks and gluons become hadrons. The widely-used models of hadronization in event generators are based on physically-inspired ph…