English

Scalable DAQ system operating the CHIPS-5 neutrino detector

Instrumentation and Detectors 2024-08-21 v1

Abstract

The CHIPS R&D project focuses on development of low-cost water Cherenkov neutrino detectors through novel design strategies and resourceful engineering. This work presents an end-to-end DAQ solution intended for a recent 5 kt CHIPS prototype, which is largely based on affordable mass-produced components. Much like the detector itself, the presented instrumentation is composed of modular arrays that can be scaled up and easily serviced. A single such array can carry up to 30 photomultiplier tubes (PMTs) accompanied by electronics that generate high voltage in-situ and deliver time resolution of up to 0.69 ns. In addition, the technology is compatible with the White Rabbit timing system, which can synchronize its elements to within 100 ps. While deployment issues did not permit the presented DAQ system to operate beyond initial evaluation, the presented hardware and software successfully passed numerous commissioning tests that demonstrated their viability for use in a large-scale neutrino detector, instrumented with thousands of PMTs.

Keywords

Cite

@article{arxiv.2408.10828,
  title  = {Scalable DAQ system operating the CHIPS-5 neutrino detector},
  author = {Belén Alonso Rancurel and Son Cao and Thomas J. Carroll and Rhys Castellan and Erika Catano-Mur and John P. Cesar and João A. B. Coelho and Patrick Dills and Thomas Dodwell and Jack Edmondson and Daan van Eijk and Quinn Fetterly and Zoé Garbal and Stefano Germani and Thomas Gilpin and Anthony Giraudo and Alec Habig and Daniel Hanuska and Harry Hausner and Wilson Y. Hernandez and Anna Holin and Junting Huang and Sebastian B. Jones and Albrecht Karle and George Kileff and Kai R. Jenkins and Paul Kooijman and Arthur Kreymer and Gabe M. LaFond and Karol Lang and Jeffrey P. Lazar and Rui Li and Kexin Liu and David A. Loving and Petr Mánek and Marvin L. Marshak and Jerry R. Meier and William Miller and Jeffrey K. Nelson and Christopher Ng and Ryan J. Nichol and Vittorio Paolone and Andrew Perch and Maciej M. Pfützner and Alexander Radovic and Katherine Rawlins and Patrick Roedl and Lucas Rogers and Ibrahim Safa and Alexandre Sousa and Josh Tingey and Jennifer Thomas and Jozef Trokan-Tenorio and Patricia Vahle and Richard Wade and Christopher Wendt and Daniel Wendt and Leigh H. Whitehead and Samuel Wolcott and Tianlu Yuan},
  journal= {arXiv preprint arXiv:2408.10828},
  year   = {2024}
}

Comments

30 pages, 28 figures, submitted to MDPI Applied Sciences, Special Issue: Advanced Neutrino Detector Development and Application

R2 v1 2026-06-28T18:18:08.319Z