2 citations · 3 across the 10 of their papers we have counts for
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Pulse-shape discrimination with machine learning for CZT detectors at the DANE beam test facility
Simone Manti, Francesco Artibani, Leonardo Abbene +36
Cadmium zinc telluride (CZT) detectors offer versatility, operational simplicity, and room-temperature X- and gamma-ray spectroscopy, making them attractive for collider applicatio…
Machine Learning Optimization of BEGe Detector Event Selection in the VIP Experiment
Simone Manti, Jason Yip, Massimiliano Bazzi +19
The VIP collaboration operates a Broad Energy Germanium detector at the Gran Sasso National Laboratory to measure radiation in the few keV to 100 keV range, aiming to search for sp…
CZT Detectors for kaonic atoms spectroscopy
Francesco Artibani, Leonardo Abbene, Antonino Buttacavoli +36
Cadmium zinc telluride (CZT) detectors offer excellent room-temperature energy resolution, making them well suited for X- and -ray spectroscopy in challenging environments. With…
Time-based Selection of Kaonic Atom X-ray Events with Quasi-Hemispherical CZT Detectors at the DAFNE collider
Francesco Artibani, Leonardo Abbene, Antonino Buttacavoli +37
This work presents the results of a time-based event selection for searching X-ray signals from kaonic atom X-ray transition using a single quasi-hemispherical Cadmium-Zinc-Telluri…
First Linearity and Stability Characterization for CZT Detection System in a ee Collider Environment
Leonardo Abbene, Francesco Artibani, Manuele Bettelli +40
The SIDDHARTA-2 collaboration built a new cadmium-zinc-telluride (CZT, CdZnTe)-based X-ray detection system, used for the first time in the DANE electron-positron collider at IN…