Observation of Radon Mitigation in MicroBooNE by a Liquid Argon Filtration System
MicroBooNE collaboration: P. Abratenko, J. Anthony, L. Arellano, J., Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, C. Barnes, G. Barr, J., Barrow, V. Basque, L. Bathe-Peters, O. Benevides Rodrigues, S. Berkman, A., Bhanderi, A. Bhat, M. Bhattacharya, M. Bishai, A. Blake

TL;DR
This study demonstrates that a copper-based liquid argon filtration system effectively reduces radon levels by over 99.999%, enhancing purity for large-scale LArTPC detectors used in neutrino experiments.
Contribution
First experimental evidence of radon mitigation in liquid argon using a large-scale copper-based filter in a LArTPC.
Findings
Radon reduction factor exceeds 99.999% or 97% depending on the model.
Copper-based filter material is primarily responsible for radon removal.
Supports models of radon mitigation via slowing and trapping mechanisms.
Abstract
The MicroBooNE liquid argon time projection chamber (LArTPC) maintains a high level of liquid argon purity through the use of a filtration system that removes electronegative contaminants in continuously-circulated liquid, recondensed boil off, and externally supplied argon gas. We use the MicroBooNE LArTPC to reconstruct MeV-scale radiological decays. Using this technique we measure the liquid argon filtration system's efficacy at removing radon. This is studied by placing a 500 kBq Rn source upstream of the filters and searching for a time-dependent increase in the number of radiological decays in the LArTPC. In the context of two models for radon mitigation via a liquid argon filtration system, a slowing mechanism and a trapping mechanism, MicroBooNE data supports a radon reduction factor of greater than 99.999% or 97%, respectively. Furthermore, a radiological survey of the…
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.
