Essays about: "BDT"

Showing result 1 - 5 of 18 essays containing the word BDT.

1. 1. 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

3. 2. Application of a Boosted Decision Tree to signals andbackgrounds of the search for Dark Mesons at theATLAS experiment

   University essay from Uppsala universitet/Högenergifysik

   Author : Eva Mayer; [2022]
   Keywords : ;

   Abstract : An ongoing analysis at the ATLAS experiment is searching for a Dark Matter candidate in the shape of Dark Mesons. Simulations of the signal and background data have been produced with the Monte Carlo method. This project tests the possibilities of using Boosted Decision Trees for the distinction between the simulated signal and background data. READ MORE

4. 3. Greywater recovery in buildings - Performance possibilities actors and strategies

   University essay from KTH/Energiteknik

   Author : Niklas Edström; [2022]
   Keywords : ;

   Abstract : Greywater includes domestic wastewater from sinks, showers, and laundry. Today, most of the greywater that leaves the building contains water and energy that could be re-circulated in the building. There is therefore a potential to recycle the greywater on property, which can lead reduction in water consumption at the building level. READ MORE

5. 4. Using Graph Neural Networks for Track Classification and Time Determination of Primary Vertices in the ATLAS Experiment

   University essay from KTH/Matematisk statistik

   Author : Mattias Gullstrand; Stefan Maraš; [2020]
   Keywords : Time determination; graph neural network; graph attentional network; HGTD; vertex; node classification; particle physics; machine learning; Tidsbestämning; neurala grafnätverk; uppvaktande grafnätverk; HGTD; vertex; nodklassificering; partikelfysik; statistisk inlärning;

   Abstract : Starting in 2027, the high-luminosity Large Hadron Collider (HL-LHC) will begin operation and allow higher-precision measurements and searches for new physics processes between elementary particles. One central problem that arises in the ATLAS detector when reconstructing event information is to separate the rare and interesting hard scatter (HS) interactions from uninteresting pileup (PU) interactions in a spatially compact environment. READ MORE

6. 5. Signal and background discrimination for two-electron events in LDMX using a Boosted Decision Tree

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

   Author : Jessamy Mol; [2019]
   Keywords : Light Dark Matter Experiment; Boosted Decision Tree; machine learning; Dark Matter; Physics and Astronomy;

   Abstract : The Light Dark Matter Experiment (LDMX) is a fixed target experiment that will search for dark matter, but is still in the development phase. An important aspect for the experiment is the discrimination of signal and background events. READ MORE