Radiopurity assessment of the tracking readout for the NEXT double beta decay experiment
S. Cebri\'an, J. P\'erez, I. Bandac, L. Labarga, V. \'Alvarez, A.I., Barrado, A. Bettini, F.I.G.M. Borges, M. Camargo, S. C\'arcel, A. Cervera,, C.A.N. Conde, E. Conde, T. Dafni, J. D\'iaz, R. Esteve, L.M.P. Fernandes, M., Fern\'andez, P. Ferrario, A.L. Ferreira, E.D.C. Freitas

TL;DR
This paper evaluates the radiopurity of tracking readout components for the NEXT double beta decay experiment, ensuring ultra-low background levels necessary for detecting neutrinoless double beta decay in xenon-136.
Contribution
It provides the first comprehensive gamma-ray spectroscopy assessment of tracking readout components, identifying radiopure materials suitable for ultra-low background experiments.
Findings
Identified radiopure printed circuit boards made of kapton and copper.
Validated silicon photomultipliers as suitable tracking sensors.
Achieved background levels within the required threshold of 8×10^-4 counts keV^-1 kg^-1 y^-1.
Abstract
The Neutrino Experiment with a Xenon Time-Projection Chamber (NEXT) is intended to investigate the neutrinoless double beta decay of 136Xe, which requires a severe suppression of potential backgrounds; therefore, an extensive screening and selection process is underway to control the radiopurity levels of the materials to be used in the experimental set-up of NEXT. The detector design combines the measurement of the topological signature of the event for background discrimination with the energy resolution optimization. Separate energy and tracking readout planes are based on different sensors: photomultiplier tubes for calorimetry and silicon multi-pixel photon counters for tracking. The design of a radiopure tracking plane, in direct contact with the gas detector medium, was specially challenging since the needed components like printed circuit boards, connectors, sensors or…
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.
