200 citations · 3.3k across the 95 of their papers we have counts for
97 papers
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…
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…
Analysis of Testbeam Data of the Highly Granular RPC-Steel CALICE Digital Hadron Calorimeter and Validation of Geant4 Monte Carlo Models
CALICE Collaboration, M. Chefdeville, J. Repond +93
We present a study of the response of the highly granular Digital Hadronic Calorimeter with steel absorbers, the Fe-DHCAL, to positrons, muons, and pions with momenta ranging from…
Construction and Response of a Highly Granular Scintillator-based Electromagnetic Calorimeter
CALICE collaboration, J. Repond, L. Xia +78
A highly granular electromagnetic calorimeter with scintillator strip readout is being developed for future lepton collider experiments. A prototype of 21.5 depth and $180 \t…
Tracking within Hadronic Showers in the CALICE SDHCAL prototype using a Hough Transform Technique
The CALICE Collaboration
The high granularity of the CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) provides the capability to reveal the track segments present in hadronic showers. These segments are t…