8–13 Nov 2026
University of Western Australia
Australia/Perth timezone

ADMX-VERA: Innovating Cavity Geometry for Large-Volume, High-Frequency Axion Searches

Not scheduled
20m
University of Western Australia

University of Western Australia

Oral Presentation

Speaker

Sephora Ruppert (Stanford University)

Description

The Axion Dark Matter eXperiment (ADMX) is a major haloscope experiment that has achieved DFSZ sensitivity at around 1 GHz. VERA (“Volume Enhanced Resonators for Axions”) is an ADMX high-frequency working group that explores new geometries for resonators with volumes far exceeding $\lambda^3$ ($V\gg \lambda^3$). The main objective is to extend ADMX's sensitivity to theoretically motivated axion models up to approximately 40 GHz using the existing magnet infrastructure through a combination of haloscope and detector advancements.
In this talk, I will present two volume-enhanced haloscope concepts and share the latest experimental results. ADMX-Bee, a near-term upgrade under strong consideration by the collaboration, will target the 2.6–5.3 GHz range using the novel “beehive” geometry. This tubable honeycomb resonator is made of a hexagonal array of strongly coupled cavities that produce a single coherent resonance mode, allowing for a volume orders of magnitude larger than a conventional cylindrical cavity operating at the same frequency. We have developed a 19-cell prototype beehive and observed a tunable high-Q resonance across multiple cells at room temperature.
I will also present the recent development in tunable wedge-cavity geometries, which are viable candidates for haloscope resonators above approximately 8 GHz. We developed a prototype 9-11 GHz triple-wedge cavity that features fully independent multi-degree-of-freedom adjustments and power combination. I will present the latest experimental results that demonstrate a coherently resonant cavity with an effective volume greater than $10^2 \lambda^3$ .

Primary Abstract Topic Experiment: Axions and Wave-Like-DM

Authors

Andrew Yi (SLAC National Accelerator Laboratory) Chaolin Kuo Chelsea Bartram (SLAC) Cheng Zhang Gianpaolo Carosi (Lawrence Livermore National Laboratory) Gray Rybka Jacob Laurel Maria Salatino Matthew O'Neal WIthers (Stanford University) Nick Du Noah Kurinsky (SLAC/Stanford) Osmond Wen (Stanford University) Sam Prausnitz-Weinbaum Sephora Ruppert (Stanford University) Taj Dyson (Stanford University)

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