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Searching for hidden particles with the SHiP experiment and development of machine learning methods

Lead Research Organisation: University of Bristol
Department Name: Physics

Abstract

Using Deep Learning to:
- Generate vast numbers of protons-on-target and simulate the detector response.
- Suppress the large combinatorial muon background

Publications

10 25 50
publication icon
Ahdida C (2019) Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks in Journal of Instrumentation

Studentship Projects

Project Reference Relationship Related To Start End Student Name
ST/P006779/1 30/09/2017 29/09/2024
2028277 Studentship ST/P006779/1 30/09/2017 29/09/2021 Alex Marshall
 
Description SHiP 
Organisation European Organization for Nuclear Research (CERN)
Country Switzerland 
Sector Academic/University 
PI Contribution SHiP collaboration at CERN
Collaborator Contribution Responsible for RPV SUSY sensitivity, muon combinatorial background and fast simulations
Impact Paper
Start Year 2015