3 papers
physics.acc-ph2022
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…
hep-ex2016
Jet reconstruction at high-energy lepton colliders
M. Boronat, J. Fuster, I. Garcia +3
In this paper we study the performance in collisions of classical jet reconstruction algorithms, longitudinally invariant algorithms and the recently-proposed Val…
physics.ins-det2016
Integrated cooling channels in position-sensitive silicon detectors
L. Andricek, M. Boronat, J. Fuster +7
We present an approach to construct position-sensitive silicon detectors with an integrated cooling circuit. Tests on samples demonstrate that a very modest liquid flow very effect…