6 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…
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…
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…
Determination of N* amplitudes from associated strangeness production in p+p collisions
R. Münzer, L. Fabbietti, E. Epple +65
We present the first determination of the energy-dependent production amplitudes of N resonances with masses between 1650 MeV/c and 1900 MeV/c for an excess energ…
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…