Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases - with focus on CMS software and computing - shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.
Bonacorsi, D., Kuznetsov, V., Giommi, L., Diotalevi, T., Vlimant, J., Abercrombie, D., et al. (2018). Progress on Machine and Deep Learning applications in CMS Computing [10.22323/1.327.0022].
Progress on Machine and Deep Learning applications in CMS Computing
Bonacorsi, Daniele;Giommi, L.;Diotalevi, T.;Contreras, C.;
2018
Abstract
Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases - with focus on CMS software and computing - shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.File in questo prodotto:
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