activity
19952025
most citedNuclear Mass Predictions for the Crustal Composition of Neutron Stars: A Bayesian Neural Network Approach

237 citations · 2.3k across the 83 of their papers we have counts for

collaborators

88 papers

hep-ph2025

Bayesian Optimization of Pythia8 Tunes

Ali Al Kadhim, Harrison B Prosper, Stephen Mrenna

A new tune (set of model parameters) is found for the six most important parameters of the Pythia8 final state parton shower and hadronization model using Bayesian optimization. Th…

hep-ph2025

Reinterpretation and preservation of data and analyses in HEP

Jon Butterworth, Sabine Kraml, Harrison Prosper +145

Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes…

hep-ex2024

EFT Workshop at Notre Dame

Nick Smith, Daniel Spitzbart, Jennet Dickinson +27

The LPC EFT workshop was held April 25-26, 2024 at the University of Notre Dame. The workshop was organized into five thematic sessions: "how far beyond linear" discusses issues of…

physics.ins-det2024★ 3 cited

Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

M. Aamir, G. Adamov, T. Adams +568

A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transv…

stat.ML2024

Modeling Sampling Distributions of Test Statistics with Autograd

Ali Al Kadhim, Harrison B. Prosper

Simulation-based inference methods that feature correct conditional coverage of confidence sets based on observations that have been compressed to a scalar test statistic require a…

physics.ins-det2023★ 4 cited

Timing Performance of the CMS High Granularity Calorimeter Prototype

CMS HGCAL collaboration

This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibra…