Sökning: "LDMX"
Visar resultat 1 - 5 av 16 uppsatser innehållade ordet LDMX.
1. Pulse Amplitude Reconstruction in the LDMX Hadronic Calorimeter Readout
Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysikSammanfattning : 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. LÄS MER
2. Neutron Veto Inefficiency Studies with FLUKA for the LDMX Hadronic Calorimeter
Kandidat-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : 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". LÄS MER
3. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : 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. LÄS MER
4. Validation of simulation with enhanced kaon production to investigate kaon background for LDMX
Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : 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. LÄS MER
5. Statistical analysis of LDMX data
Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Partikel- och kärnfysikSammanfattning : 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). LÄS MER