High-energy gray sources exhibit as energy flares in the sky map, produced by variously concentrated photon emissions. The identification of these sources is a fundamental task to better understand the mechanisms that both create and accelerate particles emitted by celestial objects. We discuss the application of nonparametric clustering for gray source detection and provide an algorithm specific for this task. The procedure accounts for the intrinsic uncertainty associated to the available data, arising as an effect of the instrument-pitch and multiple scattering.
Identification of high-energy γ−ray sources via nonparametric clustering
Menardi G.;Ferraccioli F.
2020-01-01
Abstract
High-energy gray sources exhibit as energy flares in the sky map, produced by variously concentrated photon emissions. The identification of these sources is a fundamental task to better understand the mechanisms that both create and accelerate particles emitted by celestial objects. We discuss the application of nonparametric clustering for gray source detection and provide an algorithm specific for this task. The procedure accounts for the intrinsic uncertainty associated to the available data, arising as an effect of the instrument-pitch and multiple scattering.File in questo prodotto:
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