489 citations · 2.2k across the 50 of their papers we have counts for
5 papers · 1 filter
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jennifer Ott, Jenni Ott +129
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
Solid State Detectors and Tracking for Snowmass
A. Affolder, A. Apresyan, S. Worm +132
Tracking detectors are of vital importance for collider-based high energy physics (HEP) experiments. The primary purpose of tracking detectors is the precise reconstruction of char…
Promising Technologies and R&D Directions for the Future Muon Collider Detectors
Sergo Jindariani, Federico Meloni, Nadia Pastrone +58
Among the post-LHC generation of particle accelerators, the muon collider represents a unique machine with capability to provide very high energy leptonic collisions and to open th…
Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at = 13 TeV
ATLAS Collaboration
Algorithms used for the reconstruction and identification of electrons in the central region of the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; t…
Optimal use of Charge Information for the HL-LHC Pixel Detector Readout
Yitian Chen, Evan Frangipane, Maurice Garcia-Sciveres +4
The pixel detectors for the High Luminosity upgrades of the ATLAS and CMS detectors will preserve digitized charge information in spite of extremely high hit rates. Both circuit ph…