2011/02/28 by Davison E. Soper, Michael Spannowsky · 139 citations
Computer Science · Physics and Astronomy · #Boson #Computational Physics and Python Applications #Event (particle physics) #Hadron #Higgs boson #High-Energy Particle Collisions Research #Particle physics #Particle physics theoretical and experimental studies #Physics #Quantum mechanics #Shower #Statistical physics #hep-ex #hep-ph
paper · pdf · doi:10.1103/physrevd.84.074002
published in Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields 84(7) (American Physical Society) · Revised version with improvements to the algorithm and a normalization error corrected. Performance is improved compared to version 1
arxiv created 2011/08/02 · openalex publication_date 2011/10/04 · arxiv updated 2013/05/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We introduce shower deconstruction, a method to look for new physics in a hadronic environment. The method aims to be a full information approach using small jets. It assigns to each event a number \ensuremathχ that is an estimate of the ratio of the probability for a signal process to produce that event to the probability for a background process to produce that event. The analytic functions we derive to calculate these probabilities mimic what full event generators like Pythia or Herwig do and can be depicted in a diagrammatic way. As an example, we apply this method to a boosted Higgs boson produced in association with a Z boson and show that this method can be useful to discriminate this signal from the Z+jets background.