| Published Articles | |
| Title | Energy reconstruction in a highly granularity semi-digital hadronic calorimeter |
| Author(s) | Mannai, Sameh (Louvain U.) ; Manai, Kais (Tunis El Manar U.) ; Cortina, Eduardo (Louvain U.) ; Laktineh, Imad (Lyon, IPN) |
| Publication | 2015 |
| Number of pages | 8 |
| In: | J. Phys.: Conf. Ser. 664 (2015) 072033 |
| In: | 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.072033 |
| DOI | 10.1088/1742-6596/664/7/072033 |
| Subject category | Detectors and Experimental Techniques ; Computing and Computers |
| Accelerator/Facility, Experiment | CALICE |
| Abstract | The Semi-Digital Hadronic CALorimeter(SDHCAL) using Glass Resistive Plate Chambers (GRPCs) is one of the calorimeters proposed for particle physics experiments at the future electron-positron collider. It is a high granularity calorimeter which is required for the application of the particle flow algorithm in order to improve the jet energy resolution as one of the goals of this experiments. We discuss the energy reconstruction, based on digital and semi-Digital methods, to study the effect on the improvement of the single particle energy resolution and the linearity of the detecor response. This study was performed with the GEANT4 simulation. Results on the energy resolution and linearity, for negative pions over an energy range from 1 to 100 GeV are presented and compared with different energy reconstruction methods including Artificial Neural Networks. |
| Copyright/License | CC-BY-3.0 |
Corresponding record in: Inspire
Record created 2018-09-06, last modified 2021-02-09
