112 citations · 863 across the 25 of their papers we have counts for
26 papers
mkFit for track fitting with the CMS Phase-2 detector
Leonardo Giannini, Emmanouil Vourliotis
The mkFit algorithm provides an implementation of the Kalman filter-based track reconstruction algorithm that exploits both thread- and data-level parallelism. It has been adopted…
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…
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…
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…
Search for new physics in top quark production with additional leptons in proton-proton collisions at 13 TeV using effective field theory
CMS Collaboration
Events containing one or more top quarks produced with additional prompt leptons are used to search for new physics within the framework of an effective field theory (EFT). The dat…
Speeding up Particle Track Reconstruction using a Parallel Kalman Filter Algorithm
Steven Lantz, Kevin McDermott, Michael Reid +16
One of the most computationally challenging problems expected for the High-Luminosity Large Hadron Collider (HL-LHC) is determining the trajectory of charged particles during event…