| Article | |
| Title | Calorimetry with Extremely Fine Spatial Segmentation |
| Author(s) | Bilki, B (Ankara U. ; Iowa U.) ; Guler, Y (Ankara U. ; Konya Technical U.) ; Onel, Y (Iowa U.) ; Repond, J (Iowa U.) ; Xia, L (Argonne) |
| Collaboration | CALICE Collaboration |
| Publication | 2022 |
| Number of pages | 6 |
| In: | J. Phys. : Conf. Ser. 2374 (2022) 012022 |
| In: | International Conference on Technology and Instrumentation in Particle Physics (TIPP 2021), Online, Canada, 24 - 29 May 2021, pp.012022 |
| DOI | 10.1088/1742-6596/2374/1/012022 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CALICE |
| 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 cm$^{2}$ 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. |
| Copyright/License | CC-BY-3.0 |
Corresponding record in: Inspire
Rekord stworzony 2023-06-09, ostatnia modyfikacja 2023-06-16
