Energy reconstruction in a highly granularity semi-digital hadronic calorimeter

被引：0

作者：

Mannai, Sameh ^{[1
]}

Manai, Kais ^{[2
]}

Cortina, Eduardo ^{[1
]}

Laktineh, Imad ^{[3
]}

机构：

[1] Catholic Univ Louvain, Louvain, Belgium

[2] Univ Tunis El Manar, Tunis, Tunisia

[3] Univ Lyon 1, F-69365 Lyon, France

来源：

21ST INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP2015), PARTS 1-9 | 2015年 / 664卷

关键词：

D O I：

10.1088/1742-6596/664/7/072033

中图分类号：

O57 [原子核物理学、高能物理学];

学科分类号：

070202 ;

摘要：

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.

引用

页数：8

共 6 条

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