Speaker
Description
High granularity 3D calorimeters offer the opportunity to precisely reconstruct the 3D topology of electromagnetic and hadronic showers originating from isotropic sources. This distinctive capability not only allows for the reconstruction of events from a much wider field of view, but also enable analysis strategies that could yield additional information compared to those based on the traditional layer-by-layer analysis used in calorimeters common in particle and astroparticle physics experiments.
In this study, we present a strategy for analyzing the energy deposit in a 3D segmented crystal array calorimeter, using a parametrization of both longitudinal and transversal shapes of showers to implement likelihood tests on single events. This test has the potential to serve as a robust tool for discriminating electrons and positrons against hadronic particles, an essential feature expected by calorimeters in cosmic-ray measurements in space. A comparison with the performance from an artificial intelligence algorithm for the analysis of the shower footprint image in the crystal array will also be presented.
While this analysis was specifically developed using the High Energy cosmic Radiation Detector (HERD) calorimeter as a case study, its applicability may extend to any high granularity, homogeneous, isotropic calorimeter employed in particle physics experiments.
Details
Claudio Brugnoni, Ph.D. student, Università degli Studi di Perugia and INFN Sezione di Perugia, Italy, fisgeo.unipg.it and pg.infn.it
| Internet talk | No |
|---|---|
| Is this an abstract from experimental collaboration? | No |
| Name of experiment and experimental site | N/A |
| Is the speaker for that presentation defined? | Yes |
