103 citations · 170 across the 6 of their papers we have counts for
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physics.data-an2019
A deep neural network for simultaneous estimation of b jet energy and resolution
CMS Collaboration
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 13 Te…
physics.data-an2017★ 2 cited
Design and Execution of make-like, distributed Analyses based on Spotify's Pipelining Package Luigi
Marcel Rieger, Martin Erdmann, Benjamin Fischer +1
In high-energy particle physics, workflow management systems are primarily used as tailored solutions in dedicated areas such as Monte Carlo production. However, physicists perform…