2015
DOI: 10.1088/1748-0221/10/01/c01032
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PIXIE III: a very large area photon-counting CMOS pixel ASIC for sharp X-ray spectral imaging

Abstract: PIXIE III is the third generation of very large area (32 × 25 mm 2 ) pixel ASICs developed by Pixirad Imaging Counters s.r.l. to be used in combination with suitable X-ray sensor materials (Silicon, CdTe, GaAs) in hybrid assemblies using flip-chip bonding. A Pixirad unit module based on PIXIE III shows several advances compared to what has been available up to now. It has a very broad energy range (from 2 to 100 keV before full pulse saturation), high speed (100 ns peaking time), high frame rate (larger than 5… Show more

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Cited by 77 publications
(46 citation statements)
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“…The energy bins above 35 keV were also discarded during the analysis, due to the extremely limited statistics. It should be noted, however, that the problem of charge sharing can be substantially mitigated by using a more sophisticated read-out scheme [34].…”
Section: Methodsmentioning
confidence: 99%
“…The energy bins above 35 keV were also discarded during the analysis, due to the extremely limited statistics. It should be noted, however, that the problem of charge sharing can be substantially mitigated by using a more sophisticated read-out scheme [34].…”
Section: Methodsmentioning
confidence: 99%
“…In Pixie-III this problem is mitigated by summing up the signals of neighbouring pixels, to correctly evaluate the total energy of any event involving up to 4 pixels. This hardware solution improves the energy resolution 11 , and this is beneficial for spectral imaging applications. Pixie-III is a 0.16 mm CMOS ASIC organized as a 512 × 402 matrix of square pixels with 62 m pitch resulting in an active area of 31.7 × 24.9 mm 2 .…”
Section: Sourcementioning
confidence: 99%
“…Some PCD designs aim at event‐based real‐time processing that corrects for the charge sharing for each event . The key technology is a sophisticated inter‐pixel communication to identify coincident events and correct charge sharing for each event in real time …”
Section: Introductionmentioning
confidence: 99%