Masters Theses

Masters Theses 245 records found  previous11 - 20nextend  jump to record: Search took 0.00 seconds. 
11. The Alignment of Belle II ARICH Detector and its Influence on the PID Performance (In Japanese): BelleII実験におけるARICH検出器のアライメントと粒子識別性能への影響 / Saki Iwaki ; Hidekazu Kakuno [BELLE2-MTHESIS-2024-005] Presented on 23 01 2023 MSc
2023
Tokyo Metropolitan University / Tokyo
We performed the alignment of Belle II ARICH detector, and studied its influence on the particle ID performance..
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12. Evaluation of the Radiation Hardness of MPPCs for Belle II ARICH Upgrade (In Japanese): BelleII実験ARICH検出器アップグレードに向けた光検出器MPPCの放射線耐性の評価 / Kanta Motohashi ; Hidekazu Kakuno [BELLE2-MTHESIS-2024-004] Presented on 23 01 2023 MSc
2023
Tokyo Metropolitan University / Tokyo
Evaluated the radiation hardness of MPPCs for Belle II ARICH Upgrade..
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13. Recovery of merged π0,s from ECL images of the Belle II detector using CNN / Naveen Kumar Baghel ; Dr. Vishal Bhardwaj [BELLE2-MTHESIS-2024-003] Presented on 01 05 2023 MSc
2023
Indian Institute of Science Education and Research, Mohali / Mohali, India
This study aims to utilize a Convolutional Neural Network (CNN) to retrieve merged π0 mesons lost in the Belle II experiment, where they appear as individual photons. [...]
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14. OPTIMIZATION OF A DEEP GRAPH NEURAL NETWORK TO RECONSTRUCT GENERIC B DECAYS AT BELLE II / Corentin Santos ; Jacopo Cerasoli ; Giulio Dujany [BELLE2-MTHESIS-2024-002] Presented on 22 06 2023 MSc
2023
Institut Pluridisciplinaire Hubert Curien / Strasbourg
This work presents the results of a fourteen weeks internship on the optimization of a deep graph neural network in the context of the search for New Physics (NP) at the Belle II experiment. [...]
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15. Slow Pion Identification using the Pixel Detector of Belle II / Mariangela Varela ; Prof. Dr. Christian Kiesling [BELLE2-MTHESIS-2024-001] Presented on 07 09 2023 MSc
2023
Max-Planck-Intitute for Physics / Munich, Germany
Charged pions coming from D∗ decays are very useful to tag the flavor of neutral B mesons. [...]
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16. Study of charge asymmetries in pion and kaon identification with the Belle II detector / Cecilia Antonioli ; Alessandro Gaz [BELLE2-MTHESIS-2023-041] Presented on 22 09 2023 MSc
2023
University of Padova / Padova
In this work, we study the performance of the charged kaon and pion identification at the Belle II experiment. [...]
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17. A universal approach for particle identification at Belle II using neural networks / Xavier Simó ; Stefan Wallner ; Stephan Paul [BELLE2-MTHESIS-2023-040] Presented on 30 11 2023 MSc
2023
Technische Universität München / Munich
The Belle II experiment aims to study the standard model (SM) of particle physics and to search for new physics (NP) beyond the standard model with unprecedented precision. [...]
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18. Signal proxy and radiative Bhabha background studies: contributions to the search for invisibly decaying dark photons at Belle II / Daniel Weston Mckay Crook ; Christopher Hearty [BELLE2-MTHESIS-2023-039] Presented on 30 08 2023 MSc
2023
University of British Columbia / Vancouver
The nature of dark matter is one of the greatest extant mysteries in physics [...]
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19. Optimization of the PID algorithms at the Belle II Experiment / Ali Bavarchee ; Alessandro Gaz [BELLE2-MTHESIS-2023-038] Presented on 05 06 2023 MSc
2023
University of Padova / Padova
Particle identification in the Belle II experiment involves utilizing information from various sub-detectors to classify six different species of charged particles: electrons, muons, charged pions, charged kaons, protons, and deuterons. [...]
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20. Study of Sudden Beam Losses of SuperKEKB and Development of 3D Track Hardware Trigger using Machine Learning at Belle II / Yuxin Liu ; Akimasa Ishikawa ; Taichiro Koga [BELLE2-MTHESIS-2023-037] Presented on 25 07 2023 MSc
2023
SOKENDAI / Tsukuba
The Belle II Experiment, located at the SuperKEKB asymmetric electron-positron collider in Japan, is at the next generation of B-factories, aiming to explore new physics (NP) in the flavor sector and enhance the precision of Standard Model (SM) measurements. [...]
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