9 papers
ALETHEIA: Autonomous Loop for Experimental Theory and HEP Inference Across-data
Vincent Alexander Croft
ALETHEIA is a self-completing tool for monitoring the learning of manifolds in physics foundation models from data. It provides a method to automatically build physics foundation m…
Gaussian Process Eigenmodes for Statistical and Systematic Uncertainties in Template Fits
Vincent Alexander Croft
Template histograms are the foundation of statistical inference at the Large Hadron Collider. The HistFactory likelihood encodes template uncertainty through per-bin Barlow-Beeston…
Hypothesis Tests for Observing Quantum Entanglement in HWW at the LHC
Vincent Alexander Croft, Lennart Voelz, Andrii Vak +2
We present a novel experimental strategy for testing quantum entanglement in Higgs boson decays to boson pairs at the Large Hadron Collider. Unlike theoretical approaches that…
Blobel's Regularized Unfolding: Eigenmode Decomposition and Automatic Smoothing for Inverse Problems in Particle Physics
Vincent Alexander Croft
This document presents a self-contained treatment of regularized unfolding based on cubic B-spline representations and eigenmode filtering, following the original formulation by Bl…
Coherent Quantum Evaluation of Collider Amplitudes for Effective Field Theory Constraints
Yacine Haddad, Kaidi Xu, Vincent Croft +2
Precision measurements at electron-positron colliders provide stringent tests of the Standard Model and powerful probes of possible higher-dimensional interactions. We present a hy…
The Ensemble Inverse Problem: Applications and Methods
Zhengyan Huan, Camila Pazos, Martin Klassen +3
We introduce a new multivariate statistical problem that we refer to as the Ensemble Inverse Problem (EIP). The aim of EIP is to invert for an ensemble that is distributed accordin…