Deep Learning Applications to Particle Physics: from Monte Carlo simulation acceleration to ProtoDUNE reconstruction

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Detaylı Bibliyografya
Yayımlandı:	arXiv.org (Feb 7, 2023), p. n/a
Yazar:	Rossi, Marco
Baskı/Yayın Bilgisi:	Cornell University Library, arXiv.org
Konular:	Software Deep learning Computer architecture Particle physics Slicing Phenomenology Machine learning Signal reconstruction Computer simulation Neutrinos Detectors Monte Carlo simulation Clustering Pipelining (computers) Noise reduction Distribution functions Sensors Neural networks State-of-the-art reviews Optimization Algorithms Software development Graph neural networks
Online Erişim:	Citation/Abstract Full text outside of ProQuest
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