Optimizing Neon-based Gas Mixtures for Two-stage Amplification Fast-timing Micromegas Detectors
Yue Meng, Xu Wang, Jianbei Liu, Ming Shao, Zhiyong Zhang, Yi Zhou

TL;DR
This study uses simulations and experiments to optimize neon-based gas mixtures for two-stage Micromegas detectors, improving gain uniformity and timing performance for large-area applications.
Contribution
It provides a comprehensive simulation and experimental analysis of gas mixtures, revealing how neon concentration affects detector uniformity and timing, aiding performance optimization.
Findings
Higher neon concentration improves gain uniformity.
Gas mixture composition significantly impacts time resolution.
Simulation results align with experimental measurements.
Abstract
Working gas components significantly impact the performance of gaseous detectors. A fast-timing Micromegas detector with two-stage amplification is prone to notable deterioration of uniformity when scaled up. This paper presents a simulation study based on Garfield++ that aims to enhance the performance of such detectors by exploring different gas mixtures. The properties of various gas compositions and their impact on detector performance including gain uniformity and time resolution were investigated in the simulation study. The gain uniformity and single-photon time resolution of the detector were evaluated in tests using a multi-channel PICOSEC Micromegas (MM) prototype with different gas mixtures. The experimental results are consistent with the findings of the simulation. Both simulation and experimental results indicate that a higher concentration of neon improves the detector's…
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.
Taxonomy
TopicsGas Sensing Nanomaterials and Sensors · Plasma Diagnostics and Applications · Catalytic Processes in Materials Science
