Trajectory determination at Muon Impact Tracer and Observer (MITO) using artificial neural networks

• Published in: Advances in Space Research
• Main Authors: Regadío Carretero, Alberto, Blanco Ávalos, Juan José, García Tejedor, Juan Ignacio, Ayuso de Gregorio, Sindulfo, Vrublevskyy, Ivan, Sánchez Prieto, Sebastián
• Other Authors: Universidad de Alcalá. Departamento de Automática, Universidad de Alcalá. Departamento de Física y Matemáticas. Unidad docente Física
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2023
• Subjects: Digital pulse processing; Instrumentation; Muon detector; Scintillator; Neural network; Cosmic rays; Space weather; Física; Astronomía; Physics; Astronomy; Antarctic; Livingston Island; Antarc*; Antarctica; Orca
• Online Access: http://hdl.handle.net/10017/59250; https://doi.org/10.1016/j.asr.2023.07.046

We propose a method for the determination of the impact point of muons in each of the two detection planes of the Muon Impact Tracer and Observer (MITO) telescope, which is part of the ORCA (Antarctic Cosmic Ray Observatory). The method uses the relative pulse height obtained by the four photomultip...