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Undergraduate Theses
17
records found 1 - 10
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1.
Implementing the TabNet Deep Learning Algorithm for Selecting τ−→π−π−π+ντ Events from Belle II Data
/
Yannik Fausch
[BELLE2-UTHESIS-2024-002]
Presented on 29 10 2024
BSc
2024
Max Planck Institut for Physics
/ Garching
This thesis aims to compare TabNet, a Deep Learning (DL) algorithm for classi- fication of tabular data, to the established Boosted Decision Tree (BDT) used for event selection of the τ − → π−π−π+ντ decay. [...]
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2.
Selection of τ → Kππντ Decays for Data from the Belle II Experiment
/
Arina Katscho
;
Stephan Paul
;
Stefan Wallner
[BELLE2-UTHESIS-2024-001]
Presented on 17 04 2024
BSc
2024
Max Planck Institute for Physics
/ Garching
We develop the event selection of τ ∓ → K∓π∓π±ντ for data from the Belle II electron-positron collider experiment at SuperKEKB, Japan. [...]
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3.
Suppression of Continuum Background with Neural Networks for Belle II
/
Urbschat, Bela
;
Caldwell, Allen
;
Moser, Hans-Günther
[BELLE2-UTHESIS-2023-002]
Presented on 12 12 2023
BSc
2023
Max Planck Institute for Physics
/ Munich
At Belle II, a so called B factory, pairs of B mesons are produced in large numbers to study their subsequent decays. [...]
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4.
Anomaly Detection using Isolation Forests in Searches for Inelastic Dark Matter with a Dark Higgs at Belle II
/
Michael Binder
;
Torben Ferber
;
Giacomo De Pietro
[BELLE2-UTHESIS-2023-001]
Presented on 07 06 2023
BSc
2023
Institut für Experimentelle Teilchenphysik (ETP)
/ Karlsruhe
Anomaly detection as a method enables the study of new physical phenomena. [...]
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5.
Predicting injection backgrounds at SuperKEKB using neural networks.
/
Lukas Herzberg
;
Dr. Benjamin Schwenker
[BELLE2-UTHESIS-2022-002]
Presented on 31 03 2022
BSc
2022
II. Physikalischen Institut
/ Göttingen
Every process that has ever been observed in particle physics respects the conservation of baryon and lepton numbers. [...]
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6.
Identification of slow pions by Support Vector Machines: Identifizierung von langsamen Pionen durch Support Vector Machines
/
Timo Schellhaas
;
Jens Sören Lange
[BELLE2-UTHESIS-2022-001]
Presented on 28 03 2022
BSc
2022
II. Institute of Physics
/ Giessen
Slow pions are classified based upon a pattern recognition algorithm using 9x9 pixel matrices in the PXD as input pattern [...]
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7.
MC study to obtain reconstruction efficiencies to measure branching fraction of D+ -> K+ pi0 mode
/
Haeyun Hwang
;
Doris Kim
[BELLE2-UTHESIS-2021-001]
Presented on 13 12 2021
BSc
2021
Soongsil University
/ Seoul
Measuring the branching fraction of the D meson rare decay is important for validating the theoretical calculations of the standard model. [...]
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8.
Comparison of the Simulated Lifetime of Primary and Secondary Lambda_0 Particles in Belle II Analysis Software Framework
/
Sangsik Yoon
;
Doris Kim
[BELLE2-UTHESIS-2019-002]
Presented on 28 05 2019
BSc
2019
Soongsil University
/ Seoul
The problem of the simulated lifetime of secondary Lambda_0 particles in the Belle II detector simulation has been reported by Hikari Hirata at Nagoya University [...]
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9.
Multiparameter Analysis of the Belle II Pixeldetector’s Data Using Principal Components Analysis and Neural Networks
/
Stephanie Käs
;
Jens Sören Lange
[BELLE2-UTHESIS-2019-001]
Presented on 01 07 2019
BSc
2019
II. Physics Institute
/ Giessen
In a recent thesis, the use of self-organising maps (SOM) and feed forward networks for classification processes was applied in the analysis of data from Belle II’s pixel vertex detector. [...]
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10.
Simulation of PXD-Background at Belle II with neural networks
/
Yasin Silyanoglu
;
Thomas Kuhr
[BELLE2-UTHESIS-2018-009]
Presented on 02 07 2018
BSc
2018
Ludwig-Maximilians-Universität
/ München
(none)
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Undergraduate Theses :
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