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Modeling charged-particle multiplicity distributions at LHC
With many applications in high-energy physics, Deep Learning or Deep Neural Network (DNN) has become noticeable and practical in recent years. In this article, a new technique is presented for modeling the charged particles multiplicity distribution Pn of Proton-Proton (PP) collisions using an effic...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | https://dx.doi.org/10.1142/S0217732320503022 http://cds.cern.ch/record/2750003 |