112 citations · 863 across the 25 of their papers we have counts for
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hep-ex2023★ 1 cited
Generalizing mkFit and its Application to HL-LHC
Giuseppe Cerati, Peter Elmer, Patrick Gartung +12
mkFit is an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. In the past few years the project transi…
hep-ex2023
A DNN for CMS track classification and selection
CMS Collaboration
The upgrade of the track classification and selection step of the CMS tracking to a Deep Neural Network is presented. The CMS tracking follows an iterative approach: tracks are rec…
hep-ex2023
Speeding up the CMS track reconstruction with a parallelized and vectorized Kalman-filter-based algorithm during the LHC Run 3
Sophie Berkman, Giuseppe Cerati, Peter Elmer +17
One of the most challenging computational problems in the Run 3 of the Large Hadron Collider (LHC) and more so in the High-Luminosity LHC (HL-LHC) is expected to be finding and fit…