Artículos de revistas
Particle detection and classification using commercial off the shelf CMOS image sensors
Fecha
2016-04Registro en:
Pérez, Martín; Lipovetzky, José; Sofo Haro, Miguel Francisco; Sidelnik, Iván Pedro; Blostein, Juan Jeronimo; et al.; Particle detection and classification using commercial off the shelf CMOS image sensors; Elsevier Science; Nuclear Instruments and Methods in Physics Research A: Accelerators, Spectrometers, Detectors and Associated Equipament; 827; 4-2016; 171-180
0168-9002
CONICET Digital
CONICET
Autor
Pérez, Martín
Lipovetzky, José
Sofo Haro, Miguel Francisco
Sidelnik, Iván Pedro
Blostein, Juan Jeronimo
Alcalde Bessia, Fabricio Pablo
Gomez Berisso, Mariano
Resumen
In this paper we analyse the response of two different Commercial Off The shelf CMOS image sensors as particle detectors. Sensors were irradiated using X-ray photons, gamma photons, beta particles and alpha particles from diverse sources. The amount of charge produced by different particles, and the size of the spot registered on the sensor are compared, and analysed by an algorithm to classify them. For a known incident energy spectrum, the employed sensors provide a dose resolution lower than microGray, showing their potentials in radioprotection, area monitoring, or medical applications.