Micro-Pattern Gas Detectors (MPGDs) are gaseous ionization detectors that use microelectronics for high-precision particle detection. These detectors consist of closely spaced anode and cathode electrodes within a gas-filled medium, where ionization occurs when charged particles interact. A widely used MPGD in high energy physics is the Gas Electron Multiplier (GEM), which features a polyimide foil positioned between two conductive layers of copper under a high voltage difference. Microscopic holes in the foil enable electron avalanches, amplifying the signal for detection. However, the conventional GEM detector geometry is suboptimal for gain. To enhance performance, modifications to the geometry are implemented using ANSYS and simulations are conducted with Garfield \(^{++}\) . The objective is to achieve higher gain while minimizing ion backflow, ultimately improving the detector’s efficiency without compromising its operational stability.

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Electric Field and Gain Studies in Gas Electron Multiplier Using ANSYS and Garfield \(^{++}\)

  • Poojan Angiras,
  • Md Kaosor Ali Mondal,
  • Amal Sarkar

摘要

Micro-Pattern Gas Detectors (MPGDs) are gaseous ionization detectors that use microelectronics for high-precision particle detection. These detectors consist of closely spaced anode and cathode electrodes within a gas-filled medium, where ionization occurs when charged particles interact. A widely used MPGD in high energy physics is the Gas Electron Multiplier (GEM), which features a polyimide foil positioned between two conductive layers of copper under a high voltage difference. Microscopic holes in the foil enable electron avalanches, amplifying the signal for detection. However, the conventional GEM detector geometry is suboptimal for gain. To enhance performance, modifications to the geometry are implemented using ANSYS and simulations are conducted with Garfield \(^{++}\) . The objective is to achieve higher gain while minimizing ion backflow, ultimately improving the detector’s efficiency without compromising its operational stability.