Essays about: "collider physics"

Showing result 6 - 10 of 119 essays containing the words collider physics.

1. 6. Cavity Beam Position Monitors State of the Art and Design Studies in the Context of the ILC Project

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

   Author : Laura Karina Pedraza Motavita; [2023]
   Keywords : Technology and Engineering;

   Abstract : The aim of this master thesis project is the study and evaluation of the design of cavity beam position monitors (BPM) for the International Linear Collider (ILC) project. The state-of-the-art of BPMs is investigated to determine the most appropriate existing BPM design for the requirements of the ILC. 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. Determining backgrounds with misidentified leptons in the ATLAS Higgs boson analysis

   University essay from KTH/Fysik

   Author : Leo Qiyuan Hu; [2023]
   Keywords : Particle Physics; ATLAS detector; Fake Factor method; Higgs boson; lepton misreconstruction; misidentified events; Partikelfysik; ATLAS detektorn; Fake Factor-metoden; Higgs boson; lepton felrekonstruktion; felidentifierade händelser;

   Abstract : This thesis presents an analysis of misidentified leptons in the Higgs boson decaychannel H → W W ∗ → lνlν. Misidentified leptons, resulting from jets misidentifiedas leptons, mimic the signal of a Higgs boson decay, resulting in a backgroundcontribution to the signal. READ MORE

6. 10. 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