80 citations · 521 across the 27 of their papers we have counts for
23 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…
Technical design report for the CODEX- demonstrator
b collaboration, Giulio Aielli, Juliette Alimena +56
The CODEX- apparatus is a demonstrator for the proposed future CODEX-b experiment, a long-lived-particle detector foreseen for operation at IP8 during HL-LHC data-taking. The de…
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…
Particle Identification Using Boosted Decision Trees in the Semi-Digital Hadronic Calorimeter Prototype
D. Boumediene, A. Pingault, M. Tytgat +87
The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-…
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…