Abstract

The Fast Timing Micro-Pattern Gaseous Detector (FTM) has been recently introduced as a promising alternative for applications that require improved time resolution, such as high-luminosity accelerators and medical imaging. The FTM consists of a stack of several coupled gas layers alternating drift and multiplication stages. The time resolution is determined by the time of the fastest signal among all amplification stages, read out by external electrodes through capacitive couplings. In the present work, we use the Garfield++ simulation toolkit in order to investigate and optimize the FTM performances. Gain, timing, and efficiency of the FTM are studied as a function of different parameters, such as detector geometry, gas mixture, and applied electric fields. The simulations that are presented in this paper show that a time resolution as low as 160 ps can be reached with a 32-layers FTM.

Highlights

  • Micro-Pattern Gaseous Detectors (MPGD) witnessed a significant growth over the past twenty years

  • MPGDs are generally vulnerable to electric discharges, in high rate environments, eventually causing potential damages to the readout electronics, as well as increasing the noise, which can result in data loss [2]

  • Gain, and efficiency are investigated in order to study the performance of the Fast Timing Micro-Pattern Gaseous Detector (FTM) detector

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Summary

Introduction

Micro-Pattern Gaseous Detectors (MPGD) witnessed a significant growth over the past twenty years. With their excellent spatial resolution, radiation hardness, flexible geometry, and relatively lower production and operation constraints, different MPGD detectors, such as GEM Detector (FTM) by dividing the drift gap into several smaller gaps, each with its own amplification structure. This leads to a reduction of the fluctuations in the distance between the closest ion-electron pair and amplification structure. The time resolution, which is inversely proportional to the number of layers, is given by the best timing among all layers [6]

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