English

Industrial Deposition of Wavelength-Shifting Films for Liquid Argon Photon Detection Systems

Instrumentation and Detectors 2026-05-01 v4

Abstract

The Deep Underground Neutrino Experiment (DUNE) Phase-II Far Detector is considering an approximately 2000\,m2^2 photon detection system to achieve a target mean light yield of 180\,PE/MeV. Meeting this requirement demands scalable, cost-effective, and high-quality wavelength-shifter (WLS) coatings capable of converting 127\,nm liquid-argon scintillation light into visible photons with controlled and reproducible optical performance. We report on the successful realization of an industrial physical vapor deposition (PVD) process for \textit{p}-terphenyl (pTP) coatings, adapted from vacuum deposition techniques developed for OLED display manufacturing, to produce uniform WLS layers on large-area inorganic substrates, a task traditionally challenged by adhesion and uniformity issues at organic--inorganic interfaces. Surface characterization by profilometry and spectroscopic measurements demonstrates edge-region thickness variation below 10\% and emission spectra consistent with high-quality pTP reference samples. The industrial process demonstrates reproducibility, scalability, and significantly reduced production time compared to laboratory-based methods, while maintaining optical characteristics consistent with established pTP reference samples. These results establish a viable pathway for mass production of high-performance pTP coatings for DUNE FD3 and future neutrino experiments, from a coating manufacturing and process standpoint. Detector-level performance validation, including quantitative VUV conversion efficiency measurements at 127\,nm, is identified as future work.

Keywords

Cite

@article{arxiv.2601.17161,
  title  = {Industrial Deposition of Wavelength-Shifting Films for Liquid Argon Photon Detection Systems},
  author = {Babak Azmoun and Aleksey Bolotnikov and Francesca Capocasa and Milind Diwan and Yimin Hu and Jay Hyun Jo and William Lenz and Yichen Li and Abdul Rumaiz and Vyara Tsvetkova and Matteo Vicenzi},
  journal= {arXiv preprint arXiv:2601.17161},
  year   = {2026}
}

Comments

15 pages, 8 figures, 2 tables