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

Gardado en:

Detalles Bibliográficos
Publicado en:	arXiv.org (Feb 7, 2023), p. n/a
Autor Principal:	Rossi, Marco
Publicado:	Cornell University Library, arXiv.org
Materias:	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
Acceso en liña:	Citation/Abstract Full text outside of ProQuest
Etiquetas:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Sexa o primeiro en deixar un comentario!