activity
20092023
most citedA Roadmap for HEP Software and Computing R&D for the 2020s

240 citations · 295 across the 6 of their papers we have counts for

collaborators

8 papers

physics.ins-det2023★ 4 cited

Timing Performance of the CMS High Granularity Calorimeter Prototype

CMS HGCAL collaboration

This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibra…

physics.ins-det2022

Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20300 GeV/c

B. Acar, G. Adamov, C. Adloff +454

The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimete…

physics.ins-det2021★ 19 cited

Response of a CMS HGCAL silicon-pad electromagnetic calorimeter prototype to 20-300 GeV positrons

B. Acar, G. Adamov, C. Adloff +385

The Compact Muon Solenoid Collaboration is designing a new high-granularity endcap calorimeter, HGCAL, to be installed later this decade. As part of this development work, a protot…

physics.ins-det2020

Construction and commissioning of CMS CE prototype silicon modules

B. Acar, G. Adamov, C. Adloff +327

As part of its HL-LHC upgrade program, the CMS Collaboration is developing a High Granularity Calorimeter (CE) to replace the existing endcap calorimeters. The CE is a sampling cal…

physics.ins-det2020★ 10 cited

The DAQ system of the 12,000 Channel CMS High Granularity Calorimeter Prototype

B. Acar, G. Adamov, C. Adloff +327

The CMS experiment at the CERN LHC will be upgraded to accommodate the 5-fold increase in the instantaneous luminosity expected at the High-Luminosity LHC (HL-LHC). Concomitant wit…

physics.comp-ph2017★ 240 cited

A Roadmap for HEP Software and Computing R&D for the 2020s

Johannes Albrecht, Antonio Augusto Alves, Guilherme Amadio +307

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facil…

physics.data-an2017★ 1 cited

Deep learning for inferring cause of data anomalies

V. Azzolini, M. Borisyak, G. Cerminara +10

Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different su…

physics.ins-det2009★ 21 cited

Radiation hardness qualification of PbWO4 scintillation crystals for the CMS Electromagnetic Calorimeter

The CMS Electromagnetic Calorimeter Group, P. Adzic, N. Almeida +267

Ensuring the radiation hardness of PbWO4 crystals was one of the main priorities during the construction of the electromagnetic calorimeter of the CMS experiment at CERN. The produ…