5 papers · 1 filter
SiPM non-linearity studies in beam tests with scintillating crystals
Zhiyu Zhao, Dejing Du, Shu Li +4
High-granularity homogeneous electromagnetic calorimeters based on scintillating crystals and silicon photomultipliers (SiPMs) are a promising option for future Higgs…
Simulation Studies of the Effect of SiPM Dark Noise on the Performance of a Highly Granular Crystal ECAL
Jack Rolph, Yong Liu, Baohua Qi +1
A proposal for the CEPC ECAL is a highly-granular scintillating crystal design that uses SiPMs to measure physics signals from photons. Radiation damage to the silicon will impair…
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…
PeakOTron: A Python Module for Fitting Charge Spectra of Silicon Photomultipliers
Jack Rolph, Erika Garutti, Robert Klanner +2
A Python program has been developed which fits a published detector-response model to SiPM charge spectra to characterise SiPMs. Spectra for SiPMs illuminated by low intensity puls…