| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 02021 | |
| Number of page(s) | 8 | |
| Section | 2 - Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024502021 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024502021
GRAAL: A novel package to reconstruct data of triple-GEM detectors
INFN, Sezione di Ferrara, via G. Saragat 1, 44122 Ferrara, Italy
* e-mail: rfarinelli@fe.infn.it
Published online: 16 November 2020
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.
© The Authors, published by EDP Sciences, 2020
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