713 citations · 2.5k across the 28 of their papers we have counts for
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Shower development of particles with momenta from 15 GeV to 150 GeV in the CALICE scintillator-tungsten hadronic calorimeter
The CALICE collaboration, M. Chefdeville, Y. Karyotakis +178
We present a study of showers initiated by electrons, pions, kaons, and protons with momenta from 15 GeV to 150 GeV in the highly granular CALICE scintillator-tungsten analogue had…
Pion and proton showers in the CALICE scintillator-steel analogue hadron calorimeter
The CALICE Collaboration, B. Bilki, J. Repond +169
Showers produced by positive hadrons in the highly granular CALICE scintillator-steel analogue hadron calorimeter were studied. The experimental data were collected at CERN and FNA…
The Time Structure of Hadronic Showers in highly granular Calorimeters with Tungsten and Steel Absorbers
C. Adloff, J. -J. Blaising, M. Chefdeville +210
The intrinsic time structure of hadronic showers influences the timing capability and the required integration time of hadronic calorimeters in particle physics experiments, and de…
Shower development of particles with momenta from 1 to 10 GeV in the CALICE Scintillator-Tungsten HCAL
C. Adloff, J. -J. Blaising, M. Chefdeville +215
Lepton colliders are considered as options to complement and to extend the physics programme at the Large Hadron Collider. The Compact Linear Collider (CLIC) is an collide…
Track segments in hadronic showers in a highly granular scintillator-steel hadron calorimeter
CALICE Collaboration, C. Adloff, J. -J. Blaising +205
We investigate the three dimensional substructure of hadronic showers in the CALICE scintillator-steel hadronic calorimeter. The high granularity of the detector is used to find tr…
First experience in operating the population of the condition databases for the CMS experiment
M. De Gruttola, S. Di Guida, D. Futyan +6
Reliable population of the condition databases is critical for the correct operation of the online selection as well as of the offline reconstruction and analysis of data. We will…