9 citations · 24 across the 8 of their papers we have counts for
6 papers · 1 filter
Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC
Jonathan Guiang, Slava Krutelyov, Manos Vourliotis +10
In this work, we present a study on ways that tracking algorithms can be improved with machine learning (ML). We base this study on the line segment tracking (LST) algorithm that w…
Kalman filter tracking on parallel architectures
Giuseppe Cerati, Peter Elmer, Slava Krutelyov +8
Limits on power dissipation have pushed CPUs to grow in parallel processing capabilities rather than clock rate, leading to the rise of "manycore" or GPU-like processors. In order…
A novel application of Fiber Bragg Grating (FBG) sensors in MPGD
D. Abbaneo, M. Abbas, M. Abbrescia +153
We present a novel application of Fiber Bragg Grating (FBG) sensors in the construction and characterisation of Micro Pattern Gaseous Detector (MPGD), with particular attention to…
Fiber Bragg Grating (FBG) sensors as flatness and mechanical stretching sensors
D. Abbaneo, M. Abbas, M. Abbrescia +153
A novel approach which uses Fibre Bragg Grating (FBG) sensors has been utilised to assess and monitor the flatness of Gaseous Electron Multipliers (GEM) foils. The setup layout and…
Performance of a Large-Area GEM Detector Prototype for the Upgrade of the CMS Muon Endcap System
D. Abbaneo, M. Abbas, M. Abbrescia +134
Gas Electron Multiplier (GEM) technology is being considered for the forward muon upgrade of the CMS experiment in Phase 2 of the CERN LHC. Its first implementation is planned for…
Potential Impact of a New GEM-based Detector on CMS Triggering
A. Castaneda
With the increases in the LHC instantaneous luminosity, maintaining effective triggering and avoiding dead time will become especially challenging. As the sensitivity of many physi…