54 citations · 248 across the 33 of their papers we have counts for
6 papers · 1 filter
Di-Higgs to 4b with Bayesian inference: improving simulation estimates
Ezequiel Alvarez, Leandro Da Rold, Manuel Szewc +3
Measuring di-Higgs production in the four-bottom channel is challenged by overwhelming QCD backgrounds and imperfect simulations. We develop a Bayesian mixture model that simultane…
Iterative HOMER with uncertainties
Anja Butter, Ayodele Ore, Sofia Palacios Schweitzer +10
We present iHOMER, an iterative version of the HOMER method to extract Lund fragmentation functions from experimental data. Through iterations, we address the information gap betwe…
Data-Driven High-Dimensional Statistical Inference with Generative Models
Oz Amram, Manuel Szewc
Crucial to many measurements at the LHC is the use of correlated multi-dimensional information to distinguish rare processes from large backgrounds, which is complicated by the poo…
Inferring correlated distributions: boosted top jets
Ezequiel Alvarez, Manuel Szewc, Alejandro Szynkman +2
Improving the understanding of signal and background distributions in signal-region is a valuable key to enhance any analysis in collider physics. This is usually a difficult task…
Post-hoc reweighting of hadron production in the Lund string model
Benoît Assi, Christan Bierlich, Philip Ilten +6
We present a method for reweighting flavor selection in the Lund string fragmentation model. This is the process of calculating and applying event weights enabling fast and exact v…
Characterizing the hadronization of parton showers using the HOMER method
Benoit Assi, Christian Bierlich, Philip Ilten +6
We update the HOMER method, a technique to solve a restricted version of the inverse problem of hadronization -- extracting the Lund string fragmentation function from data…