66 citations · 193 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
A new jet reconstruction algorithm for lepton colliders
Marça Boronat, Ignacio Garcia, Marcel Vos
We propose a new sequential jet reconstruction algorithm for future lepton colliders at the energy frontier. The Valencia algorithm combines the natural distance criterion for lept…
Physical limitations to the spatial resolution of solid-state detectors
M. Boronat, C. Marinas, A. Frey +4
In this paper we explore the effect of -ray emission, fluctuations in th e signal deposition on the detection of charged particles in silicon-based detec tors. We show that thes…
DEPFET active pixel detectors for a future linear collider
O. Alonso, R. Casanova, A. Dieguez +84
The DEPFET collaboration develops highly granular, ultra-transparent active pixel detectors for high-performance vertex reconstruction at future collider experiments. The character…