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physics.data-an2022★ 4 cited
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
Saúl Alonso-Monsalve, Davide Sgalaberna, Xingyu Zhao +2
In this article, we use artificial intelligence algorithms to show how to enhance the resolution of the elementary particle track fitting in inhomogeneous dense detectors, such as…
physics.data-an2020★ 11 cited
Graph neural network for 3D classification of ambiguities and optical crosstalk in scintillator-based neutrino detectors
Saúl Alonso-Monsalve, Dana Douqa, César Jesús-Valls +5
Deep learning tools are being used extensively in high energy physics and are becoming central in the reconstruction of neutrino interactions in particle detectors. In this work, w…