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T: Fachverband Teilchenphysik

T 41: Calorimeters 1

T 41.6: Talk

Tuesday, March 22, 2022, 17:30–17:45, T-H26

Apply Computer Vision Algorithm to High Granularity Calorimetry — •Julian Utehs and Stan Lai for the CALICE-D collaboration — II. Institute of Physics, Georg-August-University Göttingen, Germany

In the course of the development of the new ILC detector, there is extensive research towards high granularity calorimeters. The CALICE collaboration has developed a prototype, the Analog Hadron Calorimeter, which uses SiPM technology to read out highly granular scintillator tiles. Test beam data provides unprecedented opportunities to investigate particle shower reconstruction with highly granular calorimetry.

This talk will concentrate on the opportunities of shower shapes analysis, that are given by the usage of well-known computer vision algorithms. These algorithms, coming from object detection and industry robotics and automation, will be applied on AHCAL calorimetry data. Their application allows for opportunities to reconstruct and resolve sub-shower activity and possibly estimate the electromagnetic fraction of hadronic showers. This can be input into energy reconstruction and particle identification techniques, and possible improvements for these are investigated.