380 citations · 2.5k across the 51 of their papers we have counts for
30 papers · 1 filter
Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning
S. Lai, J. Utehs, A. Wilhahn +48
To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to se…
Software Compensation for Highly Granular Calorimeters using Machine Learning
S. Lai, J. Utehs, A. Wilhahn +61
A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event in…
Cluster time measurement with CEPC calorimeter
Yuzhi Che, Vincent Boudry, Henri Videau +2
We have developed an algorithm dedicated to timing reconstruction in highly granular calorimeters(HGC). The performance of this algorithm is evaluated on an electromagnetic calorim…
Characterisation of different stages of hadronic showers using the CALICE Si-W ECAL physics prototype
CALICE Collaboration, G. Eigen, T. Price +103
A detailed investigation of hadronic interactions is performed using -mesons with energies in the range 2--10 GeV incident on a high granularity silicon-tungsten electromagnet…
Commissioning of the highly granular SiW-ECAL technological prototype
S. Bilokin, J. Bonis, P. Cornebise +40
In this article we describe the commissioning and a first analysis of the the beam test performance of a small prototype of a highly granular silicon tungsten calorimeter. The prot…
Hadronic Energy Resolution of a Combined High Granularity Scintillator Calorimeter System
CALICE Collaboration, J. Repond, L. Xia +106
This paper presents results obtained with the combined CALICE Scintillator Electromagnetic Calorimeter, Analogue Hadronic Calorimeter and Tail Catcher & Muon Tracker, three high gr…