Essays about: "LHC"

Showing result 6 - 10 of 168 essays containing the word LHC.

1. 6. Probing Charm Production with Three-Particle Correlations in pp Collisions

   University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysik

   Author : Kim Haupt; [2023]
   Keywords : pp collisions; charm production; three-particle correlation; Pythia; Physics and Astronomy;

   Abstract : This thesis aims to investigate possible correlations between charm production and baryon production in proton-proton collisions through three-particle correlations. The question attempted to be answered is where, for a given charmed baryon, the balancing anti-charm particle and balancing anti-baryon are located. READ MORE

3. 7. An Open-Source Autoencoder Compression Tool for High Energy Physics

   University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Author : Axel Gallén; [2023]
   Keywords : Physics; Particle Physics; Analysis; Machine Learning; Neural Networks; Autoencoders; Data Compression; Lossy Compression; Baler; Physics and Astronomy;

   Abstract : A common problem across scientific fields and industries is data storage. This thesis presents an open-source lossy data compression tool with its foundation in Machine Learning - Baler. Baler has been used to compress High Energy Physics (HEP) data, and initial compression tests on Computational Fluid Dynamics (CFD) toy data have been performed. READ MORE

4. 8. Event categorisation and Machine-learning Techniques in Searches for Higgs Boson Pairs in the ATLAS Experiment at the LHC

   University essay from Uppsala universitet/Högenergifysik

   Author : Milads Emadi; [2023]
   Keywords : Particle Physics; ATLAS; BDT; Boosted Decision Tree; Decision Tree; Optimization; Machine Learning; Analysis;

   Abstract : This thesis investigates the pair production of Higgs bosons (di-Higgs events) at the ATLAS experiment in the Large Hadron Collider (LHC), focusing on the channel where one Higgs boson decays into two bottom quarks and the other decays into two tau leptons. The main objective was to determine whether introducing a split in the invariant mass of the decay products from the two Higgs bosons (the di-Higgs mass) and using this as an analysis variable improves the sensitivity of the Boosted Decision Tree (BDT) machine learning algorithm to the di-Higgs signal. READ MORE

5. 9. Dark Matter signals at the Large Hadron Collider with Deep Learning

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Max Andersson; Edward Glöckner; Carl Löfkvist; [2023]
   Keywords : Machine Learning; Dark Matter; Classification; Regression; Particle Physics; Supersymmetry; LHC; CERN;

   Abstract : While holding a firm position in popular culture and science fiction, Dark Matter (DM) is nonetheless a highly relevant topic at the forefront of modern particle physics. We study the applicability of characterizing DM particle candidates SUSY neutralino and sneutrino using Deep Learning (DL) methods. READ MORE

6. 10. Upgrade of the LHCb simulation framework with advanced particle event generators

   University essay from KTH/Fysik

   Author : Ruben Pozzi; [2023]
   Keywords : ;

   Abstract : The LHCb experiment is one of the main detectors in function at the Large Hadron Collider (LHC) at CERN. In order to interpret the data recorded by the detector, Monte Carlo (MC) samples are used as a way to validate and test theories by comparison with the experimental data. READ MORE