Design and characterization of a photosensor system for the RELICS experiment
Jijun Yang, Ruize Li, Chang Cai, Guocai Chen, Jiangyu Chen, Huayu Dai, Rundong Fang, Fei Gao, Jingfan Gu, Xiaoran Guo, Jiheng Guo, Gaojun Jin, Fali Ju, Yanzhou Hao, Yang Lei, Kaihang Li, Meng Li, Minhua Li, Shengchao Li, Siyin Li, Tao Li, Qing Lin, Jiajun Liu, Sheng Lv

TL;DR
This paper presents a novel photosensor system with extended dynamic range for the RELICS experiment, enabling detection of neutrino signals amidst cosmic backgrounds by mitigating PMT saturation.
Contribution
The development of a dual readout photosensor system with extended linear response range for PMTs in the RELICS experiment is a key innovation.
Findings
Extended PMT linear response by over an order of magnitude.
System successfully detects neutrino signals under cosmic backgrounds.
Model of PMT saturation and recovery supports system design.
Abstract
In this paper, we present the design and characterization of a photosensor system developed for the RELICS experiment. An extended dynamic range base was designed to mitigate photomultiplier tube (PMT) saturation caused by intense cosmic muon backgrounds in the surface-level RELICS detector. The system employs dual readout from the anode and the seventh dynode to extend the linear response range of the PMT. In particular, our characterization and measurements of Hamamatsu R8520-406 PMTs confirm stable operation under positive high-voltage bias, extending the linear response range by more than an order of magnitude. Furthermore, a model of PMT saturation and recovery was developed to evaluate the influence of cosmic muon signals in the RELICS detector. The results demonstrate the system capability to detect coherent elastic neutrino-nucleus scattering signals under surface-level cosmic…
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.
