A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
Abstract 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 $$\sqrt{s}=13\,\text {TeV} $$ s = 13 TeV at the CERN LHC. The algorithm is trained on a large sample of si...
Main Authors: | , , , , , , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer International Publishing
2021
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Online Access: | https://hdl.handle.net/1721.1/131856 |