Radio Frequency and DC High Voltage Breakdown of High Pressure Helium, Argon, and Xenon
K. Woodruff, J. Baeza-Rubio, D. Huerta, B. J. P. Jones, A. D., McDonald, L. Norman, D.R. Nygren, C. Adams, V. \'Alvarez, L. Arazi, I.J., Arnquist, C.D.R Azevedo, K. Bailey, F. Ballester, J.M. Benlloch-Rodr\'iguez,, F.I.G.M. Borges, N.K. Byrnes, S. C\'arcel, J.V. Carri\'on

TL;DR
This study measures the dielectric strength of high pressure xenon, argon, and helium gases at RF frequencies to assess their suitability for ion transport in advanced detectors, demonstrating feasible breakdown voltages for RF carpet operation.
Contribution
First high voltage dielectric strength measurements of high pressure xenon at RF frequencies, supporting RF carpet development for ion transport in particle detectors.
Findings
Xenon exhibits higher breakdown strength than helium at high pressure.
Breakdown voltages are compatible with stable RF carpet operation.
Results enable design of RF carpets for high pressure gas environments.
Abstract
Motivated by the possibility of guiding daughter ions from double beta decay events to single-ion sensors for barium tagging, the NEXT collaboration is developing a program of R&D to test radio frequency (RF) carpets for ion transport in high pressure xenon gas. This would require carpet functionality in regimes at higher pressures than have been previously reported, implying correspondingly larger electrode voltages than in existing systems. This mode of operation appears plausible for contemporary RF-carpet geometries due to the higher predicted breakdown strength of high pressure xenon relative to low pressure helium, the working medium in most existing RF carpet devices. In this paper we present the first measurements of the high voltage dielectric strength of xenon gas at high pressure and at the relevant RF frequencies for ion transport (in the 10 MHz range), as well as new DC and…
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.
