Sökning: "decay"

Visar resultat 21 - 25 av 485 uppsatser innehållade ordet decay.

1. 21. Calibration and preparation of the data analysis of the DORN experiment on board the Chang'E 6 lunar mission.

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Íñigo de Loyola Chacartegui Rojo; [2023]
   Nyckelord :Radon; lunar mission; alpha spectrometry; space instrumentation; performance testing and validation;

   Sammanfattning : As part of the first agreement between the French (CNES) and the Chinese (CNSA) space agencies in terms of space exploration, the DORN instrument will fly on board the Chinese Chang'E 6 mission in 2024. It aims to measure the amount of Radon escaping from the lunar soil to better understand what governs the concentration of this noble gas which contributes to the endogenous origin of the lunar exosphere. LÄS MER

3. 22. Temporal Localization of Representations in Recurrent Neural Networks

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Asadullah Najam; [2023]
   Nyckelord :Recurrent Neural Networks RNNs ; Deep Learning; Time Series Prediction; Exploding Values; Gradient Decay; Long Short-Term Memory LSTMs ; Gated Recurrent Units GRUs ; Attention Mechanism; Moving Representations; Localizing Representations;

   Sammanfattning : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. LÄS MER

4. 23. Optimization of Gammasphere Data Following the Nuclear Reaction 36Ar + 24Mg → 60Zn∗

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

   Författare :Paul Böhm; [2023]
   Nyckelord :re-calibration; Gammasphere; 54Fe; Physics and Astronomy;

   Sammanfattning : The experiment at Argonne National Laboratory aimed to study the fusion-evaporation reaction following the collision of a high-energy particle beam of 36Ar with a stationary target of 24Mg. This paper outlines the creation and implementation of an automated re-calibration procedure for the high-purity Germanium detectors comprising the Gammasphere array used for γ-ray spectroscopy in this experiment. LÄS MER

5. 24. Constraining the Higgs width in Higgs production associated with a top quark pair

   Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Teoretisk partikelfysik - Geonomgår omorganisation

   Författare :Benjamin Dahlén; [2023]
   Nyckelord :Higgs; width; cross section; on-shell; off-shell; invariant mass; Standard model; upper bound; Physics and Astronomy;

   Sammanfattning : In this thesis we study the width of the Higgs boson in the process pp → t ̄t 4l at LO using MadGraph5_aMC@NLO to generate the events. The contributions including the Higgs signal, continuum background and interference were considered in order to calculate the expected number of events in a broad range of four-lepton invariant masses. LÄS MER

7. 25. Event categorisation and Machine-learning Techniques in Searches for Higgs Boson Pairs in the ATLAS Experiment at the LHC

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

   Författare :Milads Emadi; [2023]
   Nyckelord :Particle Physics; ATLAS; BDT; Boosted Decision Tree; Decision Tree; Optimization; Machine Learning; Analysis;

   Sammanfattning : 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. LÄS MER