A 24-Channel Ultra-Low-Noise Preamplifier for dN/dx Measurements with Drift Tube Detectors
Jiajin Ge, Chihao Li, Can Suslu, Yuxiang Guo, Emmett Salzer, Tiesheng Dai, Jianming Qian, Bing Zhou, Junjie Zhu

TL;DR
This paper introduces a 24-channel ultra-low-noise preamplifier for drift tube detectors, enabling precise dN/dx measurements crucial for particle identification in collider experiments.
Contribution
The paper presents a novel three-stage SiGe transistor-based preamplifier with exceptional noise performance and validation in CERN test beam experiments.
Findings
Achieved a charge gain of 21.11 mV/fC and bandwidth of 542 MHz.
Measured voltage noise density of 0.35 nV/√Hz, surpassing state-of-the-art preamplifiers.
Validated performance with a high signal-to-noise ratio of 73 in CERN tests.
Abstract
Cluster counting dN/dx is a promising method to enhance particle identification for gaseous detectors, especially in next-generation collider experiments like the FCC-ee, where good pion-kaon separation over a broad momentum range is essential. However, its implementation in large-scale systems has been limited by the challenging requirements for high-resolution signal amplification and readout. This paper presents a 24-channel ultra-low-noise preamplifier board designed for drift tube detectors to enable dN/dx measurements. The three-stage amplification topology employs SiGe transistors and integrates dedicated noise-minimization techniques, achieving a charge gain of 21.11 mV/fC from 0.3 fC to 50 fC, a bandwidth of 542 MHz, and a voltage gain of 47.8 dB. The measured voltage noise density is 0.35 nV/sqrt(Hz), surpassing most of the state-of-the-art preamplifiers for gaseous and…
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.
