Essays about: "LDMX"
Showing result 1 - 5 of 16 essays containing the word LDMX.
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1. Pulse Amplitude Reconstruction in the LDMX Hadronic Calorimeter Readout
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysikAbstract : The universe shows signs of containing some invisible matter, known as dark matter. There are many possible constituents for dark matter, one such being light dark matter which would interact with ordinary matter through a new mediator force and have masses in the range of a few MeV to GeV. READ MORE
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2. Neutron Veto Inefficiency Studies with FLUKA for the LDMX Hadronic Calorimeter
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Dark matter accounts for about 85% of all matter in the Universe, yet its particle nature remains unknown. The Light Dark Matter eXperiment (LDMX) is a proposed fixed-target missing-momentum experiment that intends to probe the predominantly experimentally uncharted MeV-GeV mass range for "light dark matter". READ MORE
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3. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. READ MORE
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4. Validation of simulation with enhanced kaon production to investigate kaon background for LDMX
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Dark matter is one of our universe’s largest mysteries and very little is known about what it is. One of the dominating theories, that it originates from an early universe thermal relic, indicates that it has interaction with the Standard Model. READ MORE
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5. Statistical analysis of LDMX data
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysikAbstract : This thesis explores a statistical framework for analysing LDMX data. It uses pre-built functions in the ROOT framework to calculate likelihoods and confidence levels (CL). READ MORE