Numerical estimation of discharge probability in GEM-based detectors

TL;DR

This paper presents a numerical approach using hydrodynamic modeling to estimate discharge probabilities in GEM-based detectors, considering initial charge configurations and comparing results with experimental data.

Contribution

It introduces a hydrodynamic simulation method for GEM discharge probability estimation, incorporating initial charge effects and validating against experiments.

Findings

Hydrodynamic model captures statistical nature of detector response

Simulation results agree with experimental discharge probabilities

Initial charge configuration significantly influences discharge likelihood

Abstract

Discharge probability in GEM-based gaseous detectors has been numerically estimated using an axisymmetric hydrodynamic model. Initial primary charge configurations in the drift region, obtained using Heed and Geant4, are found to have significant effect on the subsequent evolution of detector response. Simulation of energy resolution has been performed to establish the capability of the hydrodynamic model to capture statistical nature of the experimental situation. Finally, single and triple GEM configurations exposed to alpha sources have been simulated to estimate discharge probability which have been compared with available experimental data. Despite the simplifying and drastic assumptions in the numerical model, the comparisons are encouraging.