Sökning: "scintillator"

Visar resultat 1 - 5 av 37 uppsatser innehållade ordet scintillator.

  1. 1. Development of Radon Detectors for Earthquake Prediction

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Alma Partos; Astrid Schöldström; [2023]
    Nyckelord :Radon; earthquake; gamma ray spectroscopy;

    Sammanfattning : The purpose of this project is to simulate the detection of γ-ray spectra emitted by radon isotopes and their daughters. This is done as a contribution to the development of radiation detectors to be used in a research project investigating the possibility of using increased amounts of the radioactive gas radon as an earthquake precursor. LÄS MER

  2. 2. Characterization of neutron detection efficiency in a liquid organic scintillator

    Kandidat-uppsats,

    Författare :Ebba Wargh; Nadine Tabeshnia; [2023]
    Nyckelord :;

    Sammanfattning : Neutron detectors in the form of liquid organic scintillators are widely used for nuclear disarmament purposes. The main purpose of this thesis is to characterize the neutron detection efficiency of the organic liquid scintillator EJ-309 using Monte Carlo based simulations in the simulation program Geant4. LÄS MER

  3. 3. Neutron Veto Inefficiency Studies with FLUKA for the LDMX Hadronic Calorimeter

    Kandidat-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Författare :Jaida Raffelsberger; [2023]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : 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

  4. 4. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks

    Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Författare :Jacob Lindahl; [2023]
    Nyckelord :LDMX; ANN; CNN; GNN; RNN; DM; Physics and Astronomy;

    Sammanfattning : 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

  5. 5. Data Reduction and Analysis with the MPRu instrument for Neutron Emission Spectroscopy at JET

    Master-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Steven Hendrik Bijl; [2023]
    Nyckelord :Fusion; JET; MPRu;

    Sammanfattning : This research project centres on advancing data analysis techniques using the Magnetic Proton Recoil Upgrade Neutron Spectrometer (MPRu) for neutron emission spectroscopy during the deuterium tritium experimental campaign (DTE2) at the Joint European Torus (JET). The study aimed to address three pivotal questions, each with implications for optimizing data accuracy, quality, and utility. LÄS MER