2010
DOI: 10.1016/j.nima.2009.12.051
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The AGILE silicon tracker: Pre-launch and in-flight configuration

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Cited by 28 publications
(17 citation statements)
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“…AGILE exploits for the first time on a satellite-borne mission the technology of silicon detectors for the imaging of gamma rays and hard X-rays. In fact both its imaging instruments, the Silicon Tracker 2,3 (the pair conversion stage of a gamma-ray telescope) and SuperAGILE 4 (a hard X-ray monitor), are based on the same silicon microstrip detector tiles, with 9.5 cm × 9.5 cm surface, 121 µm pitch and 410 µm thickness, manufactured by Hamamatsu. The AGILE payload includes also a NaI(Tl) Minicalorimeter (MCAL 5 ) and is enclosed by a plastic scintillator Anticoincidence 6 system.…”
Section: Agilementioning
confidence: 99%
“…AGILE exploits for the first time on a satellite-borne mission the technology of silicon detectors for the imaging of gamma rays and hard X-rays. In fact both its imaging instruments, the Silicon Tracker 2,3 (the pair conversion stage of a gamma-ray telescope) and SuperAGILE 4 (a hard X-ray monitor), are based on the same silicon microstrip detector tiles, with 9.5 cm × 9.5 cm surface, 121 µm pitch and 410 µm thickness, manufactured by Hamamatsu. The AGILE payload includes also a NaI(Tl) Minicalorimeter (MCAL 5 ) and is enclosed by a plastic scintillator Anticoincidence 6 system.…”
Section: Agilementioning
confidence: 99%
“…The AGILE payload detector consists of the Silicon Tracker (ST) (Barbiellini et al 2001;Prest et al 2003;Bulgarelli et al 2010;Cattaneo et al 2011) the Super-AGILE X-ray detector (Feroci et al 2007), the CsI(Tl) Mini-Calorimeter (MCAL) (Labanti et al 2009), and an AntiCoincidence (AC) system (Perotti et al 2006). The combination of ST, MCAL and AC forms the Gamma-Ray Imaging Detector (GRID).…”
Section: Agile-grid Instrument Data and Observationsmentioning
confidence: 99%
“…The reconstruction filter has several, sometimes conflicting, goals: reconstructing tracks, estimating their directions and energies, combining them to identify γ-ray, rejecting background hits from noise and charged particle escaping the AC veto and providing an estimation of the probability that the measured tracks originate by a pair converted γ-ray. The filter used in this analysis, FM3.119 (Bulgarelli et al 2010;Chen et al 2011), is the result of an optimisation between those requirements and has been used in all AGILE scientific analyses.…”
Section: Reconstruction Filtermentioning
confidence: 99%