Performance of a triple-GEM detector with capacitive-sharing 3-coordinate (X-Y-U)-strip anode readout

TL;DR

This paper evaluates a triple-GEM detector with a capacitive-sharing 3-coordinate strip readout, demonstrating high spatial resolution and discussing design improvements and scalability for high-energy physics applications.

Contribution

It presents the first performance results of a triple-GEM detector with a novel capacitive-sharing (X-Y-U) strip readout, highlighting its spatial resolution capabilities.

Findings

Achieved spatial resolutions of ~70-75 μm for X, Y, and U coordinates.

Validated the detector's performance in a beam test at Jefferson Lab.

Discussed design modifications to enhance resolution and scalability.

Abstract

The concept of capacitive-sharing readout, described in detail in a previous study, offers the possibility for the development of high-performance three-coordinates (X-Y-U)-strip readout for Micro Pattern Gaseous Detectors (MPGDs) using simple standard PCB fabrication techniques. Capacitive-sharing (X-Y-U)-strip readout allows simultaneous measurement of the Cartesian coordinates x and y of the position of the particles together with a third coordinate u along the diagonal axis in a single readout PCB. This provides a powerful tool to address multiple-hit ambiguity and enable pattern recognition capabilities in moderate particle flux environment of collider or fixed target experiments in high energy physics HEP) and nuclear physics (NP). We present in this paper the performance of a 10 cm {\times} 10 cm triple-GEM detector with capacitive-sharing (X-Y-U)-strip anode readout. Spatial resolutions of the order of {\sigma}^res_x = 71.6 {\pm} 0.8 {\mu}m for X-strips, {\sigma}^res_y = 56.2 {\pm} 0.9 {\mu}m for Y-strips and {\sigma}^res_u = 75.2 {\pm} 0.9 {\mu}m for U-strips have been obtained at a beam test at Thomas Jefferson National Accelerator Facility (Jefferson Lab). Modifications of the readout design of future prototypes to improve the spatial resolution and challenges in scaling to large-area MPGDs are discussed.