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Padua Thesis and Dissertation Archive
Bachelor thesis
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Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning

descriptionPublicationkeyboard_double_arrow_right Thesis , Other literature type , Bachelor thesis 14 Oct 2021 Italy English Publisher:Zenodo
Authors: Matteo Guida;

doi: 10.5281/zenodo.6347580 , 10.5281/zenodo.6347581

handle: 20.500.12608/353

Position Reconstruction Based on Prompt Scintillation Light in XENONnT Exploiting Deep Learning

Abstract

A novel position reconstruction deep learning algorithm is introduced and validated for the XENONnT dark matter direct detection experiment, based exclusively on the prompt scintillation light (S1 signal).

Country
Italy
Related Organizations
Keywords

experimental astroparticle physics, dark matter direct detection, data analysis, deep learning, position reconstruction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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