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Novel Machine Learning and Differentiable Programming Techniques applied to the VIP-2 Underground Experiment
F Napolitano, M Bazzi, M Bragadireanu +20
In this work, we present novel Machine Learning and Differentiable Programming enhanced calibration techniques used to improve the energy resolution of the Silicon Drift Detectors…
Identification of the cosmogenic C background in large volumes of liquid scintillators with Borexino
M. Agostini, K. Altenmüller, S. Appel +93
Cosmogenic radio-nuclei are an important source of background for low-energy neutrino experiments. In Borexino, cosmogenic C decays outnumber solar and CNO neutrino ev…
The Monte Carlo simulation of the Borexino detector
M. Agostini, K. Altenmuller, S. Appel +97
We describe the Monte Carlo (MC) simulation package of the Borexino detector and discuss the agreement of its output with data. The Borexino MC 'ab initio' simulates the energy los…
Prototype muon detectors for the AMIGA component of the Pierre Auger Observatory
The Pierre Auger Collaboration, A. Aab, P. Abreu +451
Auger Muons and Infill for the Ground Array) is an upgrade of the Pierre Auger Observatory to extend its range of detection and to directly measure the muon content of the particle…