Particle and nuclear physics
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- 2021
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Mark
Using Artificial Neural Networks to optimize scattering probabilities
(
- Bach. Degree
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Mark
Radiative Corrections Beyond the Soft-Photon Approximation
(
- Bach. Degree
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Mark
Cosmological implications of a QCD-like composite Higgs model
2021) FYTM03 20211(
Theoretical Particle Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Master (Two yrs)
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Mark
Background Studies of the High-Intensity Baryon Extraction and Measurement (HIBEAM) Experiment at the European Spallation Source
(
- Master (Two yrs)
-
Mark
Recent Progress on the Black Hole Information Paradox
2021) FYTM04 20211(
Theoretical Particle Physics - Has been reorganised
Department of Astronomy and Theoretical Physics - Has been reorganised- Master (Two yrs)
- 2020
-
Mark
Review of DM searches in the ATLAS and LDMX experiments
(
- Bach. Degree
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Mark
Principal Component Analyses of Final States in Relativistic Nuclear Collisions using PYTHIA/Angantyr
(
- Bach. Degree
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Mark
Signal background interference effects in lepton trident events with a new low mass mediator
(
- Master (Two yrs)
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Mark
Energy reconstruction with artificial neural networks on LDMX simulations
(
- Bach. Degree
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Mark
Imaging Using Machine Learning for the LDMX Electromagnetic Calorimeter
(
- Master (Two yrs)