Interstrip Capacitances of the Readout Board used in Large Triple-GEM Detectors for the CMS Muon Upgrade
M. Abbas, M. Abbrescia, H. Abdalla, A. Abdelalim, S. AbuZeid, A., Agapitos, A. Ahmad, A. Ahmed, W. Ahmed, C. Aim\`e, C. Aruta, I. Asghar, P., Aspell, C. Avila, J. Babbar, Y. Ban, R. Band, S. Bansal, L. Benussi, V., Bhatnagar, M. Bianco, S. Bianco, K. Black, L. Borgonovi

TL;DR
This paper combines analytical, simulation, and experimental methods to optimize the readout board design for large triple-GEM detectors in the CMS muon upgrade, focusing on reducing interstrip capacitance to improve signal quality.
Contribution
It introduces a new strip geometry configuration that significantly reduces interstrip capacitance, validated through multiple methods and adopted for the CMS detector upgrade.
Findings
Analytical and finite element analysis agree within 4.8%.
Measurements show a 17% average difference from calculations.
Modified strip design reduces capacitance by 27-29%.
Abstract
We present analytical calculations, Finite Element Analysis modeling, and physical measurements of the interstrip capacitances for different potential strip geometries and dimensions of the readout boards for the GE2/1 triple-Gas Electron Multiplier detector in the CMS muon system upgrade. The main goal of the study is to find configurations that minimize the interstrip capacitances and consequently maximize the signal-to-noise ratio for the detector. We find agreement at the 1.5--4.8% level between the two methods of calculations and on the average at the 17% level between calculations and measurements. A configuration with halved strip lengths and doubled strip widths results in a measured 27--29% reduction over the original configuration while leaving the total number of strips unchanged. We have now adopted this design modification for all eight module types of the GE2/1 detector…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
