Identifying $D$ mesons from Radiative $W$ decays at the Large Hadron Collider

Abstract

In this paper we present two machine learning algorithms to identify $D$ mesons produced in a color singlet state from radiative $W$ boson decays at the LHC. The combined network algorithm is able to identify $D$ mesons via its hadronic decays with an efficiency of 47% while suppressing a background of quark and gluon jets by a factor of 100. Using the developed algorithm, we perform a prospective study for the measurement of $\mathcal{B}(W\to D_s\gamma )$.

11 pages, 7 figures, 5 tables

References in corpus (4)

• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• Gaining (Mutual) Information about Quark/Gluon Discrimination
• Exclusive Radiative Decays of W and Z Bosons in QCD Factorization
• Search for the rare decays $W^{+}\to D_s^{+}\gamma$ and $Z\to D^0\gamma$ at LHCb