Charged particle distributions and robustness of the neural network pixel clustering in ATLAS
This thesis contains a study of the robustness of the artificial neural network used in the ATLAS track reconstruction algorithm as a tool to recover tracks in dense environments. Different variations, motivated by potential discrepancies between data and simulation, are performed to the neural netw...
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| Format: | Others |
| Language: | English |
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KTH, Partikel- och astropartikelfysik
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190858 |