Work

Deep Neural Networks for Particle Identification with Si Detectors through traces

Year: 2025

Type: dissertation

Abstract: This repository consists of the code used for the creation, training and analysis of neural networks for particle identification with Silicon detectors. In addition also consists of the code used for the analysis of CsI deposited on mylar for evaluation of efficiency and electron production for MCP detectors

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16986731

Authors: Michie, Craig, Brugnara, Daniele

Institutions: University of Padua, Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Legnaro

Language: English

Topic: Particle Detector Development and Performance

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7078135173

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