Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/3691
Title: Calorimetry with Extremely Fine Spatial Segmentation
Authors: Bilki, B.
Güler, Y.
Önel, Y.
Repond, J.
Xia, L.
Keywords: Calorimeters
Charged particles
Intelligent systems
Monte Carlo methods
Particle spectrometers
Software testing
Statistical tests
Digital hadron calorimeters
Energy momentum
Energy resolutions
Hadronic jets
Momentum resolutions
Particle flow algorithms
Power
Single-particle energy
Spatial granularity
Spatial segmentation
Calorimetry
Issue Date: 2022
Publisher: Institute of Physics
Abstract: Particle Flow Algorithms (PFAs) attempt to measure each particle in a hadronic jet individually, using the detector subsystem that provides the best energy/momentum resolution. Calorimeters that can exploit the power of PFAs emphasize spatial granularity over single particle energy resolution. In this context, the CALICE Collaboration developed the Digital Hadron Calorimeter (DHCAL). The DHCAL uses Resistive Plate Chambers (RPCs) as active media and is read out with 1 × 1 cm2 pads and digital (1-bit) resolution. In order to obtain a unique dataset of electromagnetic and hadronic interactions with unprecedented spatial resolution, the DHCAL went through a broad test beam program. In addition to conventional calorimetry, the DHCAL offers detailed measurements of event shapes, rigorous tests of simulation models and various analytical tools to improve calorimetric performance. Here we report on the results from the analysis of DHCAL data and comparisons with the Monte Carlo simulations. © Published under licence by IOP Publishing Ltd.
Description: 2021 International Conference on Technology and Instrumentation in Particle Physics, TIPP 2021 -- 23 May 2021 through 28 May 2021 -- 184972
URI: https://doi.org/10.1088/1742-6596/2374/1/012022
https://hdl.handle.net/20.500.13091/3691
ISSN: 1742-6588
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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