Publications (6)
Reconstruction in an imaging calorimeter for HL-LHC
Antonio Di Pilato, Ziheng Chen, Felice Pantaleo +1
The CMS endcap calorimeter upgrade for the High Luminosity LHC in 2027 uses silicon sensors to achieve radiation tolerance, with the further benefit of a very high readout granular…
Periodogram and likelihood periodicity search in the SNO solar neutrino data
Gioacchino Ranucci, Marco Rovere
In this work a detailed spectral analysis for periodicity search of the time series of the 8B solar neutrino flux released by the SNO Collaboration is presented. The data have been…
The k4Clue package: Empowering Future Collider Experiments with the CLUE Algorithm
Erica Brondolin, Marco Rovere, Felice Pantaleo
High granularity calorimeters have become increasingly crucial in modern particle physics experiments, and their importance is set to grow even further in the future. The CLUsterin…
Bringing heterogeneity to the CMS software framework
Andrea Bocci, David Dagenhart, Vincenzo Innocente +4
The advent of computing resources with co-processors, for example Graphics Processing Units (GPU) or Field-Programmable Gate Arrays (FPGA), for use cases like the CMS High-Level Tr…
Heterogeneous reconstruction of tracks and primary vertices with the CMS pixel tracker
Andrea Bocci, Matti Kortelainen, Vincenzo Innocente +2
The High-Luminosity upgrade of the LHC will see the accelerator reach an instantaneous luminosity of with an average pileup of proton-proton c…
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High Energy Physics
Marco Rovere, Ziheng Chen, Antonio Di Pilato +2
One of the challenges of high granularity calorimeters, such as that to be built to cover the endcap region in the CMS Phase-2 Upgrade for HL-LHC, is that the large number of chann…