The purpose of this Masters thesis is split into two sections. Firstly and largely, explore the viability, usability, and scalability of Artificial Intelligence (AI) for particle identification with silicon detectors. Secondly, determine the efficiency of a multichannel plate detector (MCP) with and without the application of a Caesium Iodine (CsI) doped layer.
The purpose of this Masters thesis is split into two sections. Firstly and largely, explore the viability, usability, and scalability of Artificial Intelligence (AI) for particle identification with silicon detectors. Secondly, determine the efficiency of a multichannel plate detector (MCP) with and without the application of a Caesium Iodine (CsI) doped layer.
Exploitation of Artificial Intelligence for Particle Identification with Silicon Detectors
MICHIE, CRAIG THOMAS
2024/2025
Abstract
The purpose of this Masters thesis is split into two sections. Firstly and largely, explore the viability, usability, and scalability of Artificial Intelligence (AI) for particle identification with silicon detectors. Secondly, determine the efficiency of a multichannel plate detector (MCP) with and without the application of a Caesium Iodine (CsI) doped layer.| File | Dimensione | Formato | |
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Michie_Craig.pdf
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https://hdl.handle.net/20.500.12608/91195