Subject

Sort by: Order: Results:

  • A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution 
    CMS Collaboration; Sirunyan, A. M.; DUBE, SOURABH; KANSAL, B.; KAPOOR, A.; KOTHEKAR, K.; PANDEY, S.; RANE, A.; RASTOGI, A.; SHARMA, SEEMA et al. (Springer Nature, 2020-10)
    We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of s√=13TeV at the CERN LHC. The algorithm is trained on a large ...
  • Search for medium effects using jets from bottom quarks in PbPb collisions at √sNN=5.02 TeV 
    CMS Collaboration; Tumasyan, A.; ALPANA, A.; DUBE, SOURABH; KANSAL, B.; LAHA, A.; PANDEY, S.; RASTOGI, A.; SHARMA, SEEMA et al. (Elsevier B.V., 2023-09)
    The first study of the shapes of jets arising from bottom (b) quarks in heavy ion collisions is presented. Jet shapes are studied using charged hadron constituents as a function of their radial distance from the jet axis. ...

Search Repository


Advanced Search

Browse

My Account