Abstract
Micro-Pattern Gas Detectors (MPGDs) are the new frontier among the gas tracking systems. Among them, the triple Gas Electron Multiplier (triple-GEM) detectors are widely used. In particular, cylindrical triple-GEM (CGEM) detectors can be used as inner tracking devices in high energy physics experiments. In this contribution, a new offline software called GRAAL (Gem Reconstruction And Analysis Library) is presented: digitization, reconstruction, alignment algorithms and analysis of the data collected with APV-25 and TIGER ASICs are reported. An innovative cluster reconstruction method based on charge centroid, micro-TPC and their merge is discussed, and the detector performance evaluated experimentally for both planar triple-GEM and CGEM prototypes.
Highlights
GRAAL1 is a code developed to face the need for fast and consistent analysis of the studied gas detectors in a long testbeam campaign
Cylindrical triple-Gas Electron Multiplier (GEM) (CGEM) detectors can be used as inner tracking devices in high energy physics experiments
A new offline software called GRAAL (Gem Reconstruction And Analysis Library) is presented: digitization, reconstruction, alignment algorithms and analysis of the data collected with APV-25 and TIGER ASICs are reported
Summary
GRAAL1 is a code developed to face the need for fast and consistent analysis of the studied gas detectors in a long testbeam campaign. The software is a C++ object-oriented code that exploits the ROOT [1] libraries for Input/Output, fitting and plotting. The code is hosted in Gitlab at the following link: https://github.com/Hilldar/GRAAL.git
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