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20002025
most citedAxion Searches with Microwave Filters: the RADES project

102 citations · 425 across the 27 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

physics.acc-ph2022★ 2 cited

Local power coupling as a predictor of high-gradient breakdown performance

Jan Paszkiewicz, Alexej Grudiev, Walter Wuensch

A novel quantity for predicting the high-gradient performance of radio frequency accelerating structures is presented. The quantity is motivated, derived and compared with earlier…

cond-mat.mtrl-sci2022★ 1 cited

Comparative study of H accumulation in differently oriented grains of Cu

A. Lopez-Cazalilla, Catarina Serafim, F. Djurabekova +3

When metal surfaces are exposed to hydrogen ion irradiation, the light ions are expected to penetrate deep into the material and dissolve in the matrix. However, these atoms are se…

physics.acc-ph2022★ 11 cited

The CLIC project

O. Brunner, P. N. Burrows, S. Calatroni +18

The Compact Linear Collider (CLIC) is a multi-TeV high-luminosity linear ee-collider under development by the CLIC accelerator collaboration, hosted by CERN. The CLIC accel…

physics.ins-det2022★ 7 cited

On the use of ferroelectric material in the detection of dark matter axions

J. M. García Barceló, A. Álvarez Melcón, S. Arguedas Cuendis +6

Tuning is an essential requirement for the search of dark matter axions employing haloscopes since its mass is not known yet to the scientific community. At the present day, most h…

physics.acc-ph2022★ 19 cited

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities

Christoph Obermair, Thomas Cartier-Michaud, Andrea Apollonio +10

The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in par…