Calorimetry with Extremely Fine Spatial Segmentation
نویسندگان
چکیده
Particle Flow Algorithms (PFAs) attempt to measure each particle in a hadronic jet individually, using the detector subsystem that provides best energy/momentum resolution. Calorimeters can exploit power of PFAs emphasize spatial granularity over single energy In this context, CALICE Collaboration developed Digital Hadron Calorimeter (DHCAL). The DHCAL uses Resistive Plate Chambers (RPCs) as active media and is read out with 1 × cm 2 pads digital (1-bit) order obtain unique dataset electromagnetic interactions unprecedented resolution, went through broad test beam program. addition conventional calorimetry, offers detailed measurements event shapes, rigorous tests simulation models various analytical tools improve calorimetric performance. Here we report on results from analysis data comparisons Monte Carlo simulations.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2022
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2374/1/012022