2020/02/21 by S. Berlendis, Simon Berlendis, Berlendis, Simon
Computer Science · Mathematics · Physics and Astronomy · #Atlas (anatomy) #Biology #Distributed and Parallel Computing Systems #FOS: Physical sciences #Geology #High Energy Physics - Experiment (hep-ex) #High-Energy Particle Collisions Research #Large Hadron Collider #Mathematics #Monte Carlo method #Particle physics #Particle physics theoretical and experimental studies #Physics #Quantum Chromodynamics and Particle Interactions #Statistical physics #Statistics #Top quark #hep-ex
paper · pdf · doi:10.48550/arxiv.2002.09232
arxiv created 2020/02/21 · openalex publication_date 2020/02/21 · arxiv updated 2020/02/24 · openalex created_date 2022/07/26 · openalex updated_date 2026/08/05
The production of top quarks through single or rare production modes has become important due to the large amount of data collected by both ATLAS and CMS at the LHC. Many searches are now studying these processes either as a targeted signal or as an important source of background. This document reviews the Monte Carlo simulations used to model these processes in ATLAS and CMS, and how the modeling systematic uncertainties are estimated. Many analyses have also recently released a large variety of unfolded distributions. These distributions are shown and the modeling from various Monte Carlo generators are compared to the data.