DocumentCode :
713310
Title :
Digitally assisted low noise and fast signal processing charge sensitive amplifier for single photon counting systems
Author :
Grybos, P. ; Drozd, A. ; Kleczek, R. ; Maj, P. ; Szczygiel, R.
Author_Institution :
AGH Univ. of Sci. & Technol., Krakow, Poland
fYear :
2015
fDate :
17-19 March 2015
Firstpage :
1445
Lastpage :
1450
Abstract :
Single Photon Counting architectures used in X-ray pixel imaging systems have superior performance (essentially infinite dynamic range, noiseless imaging, possibility of photons´ counting only within a given energy window), however they offer only a limited photon count rate performance per single pixel. This paper presents a novel architecture of front-end readout electronics, which due to digitally assisted charge sensitive amplifier improves significantly count rate performance of these systems and allows to keep the low noise of the front-end electronics at the same time. The proposed architecture was amalyzed in 40 nm CMOS process. The simulations show that the single photon counting architecture operates correctly with frequency of input pulses fin = 4 MHz and has Equivalent Noise Charge ENC = 70 el. rms only (for detector capacitance CDET = 150 fF).
Keywords :
CMOS image sensors; X-ray imaging; low noise amplifiers; photon counting; readout electronics; CMOS process; X-ray pixel imaging systems; capacitance 150 fF; digitally assisted charge sensitive amplifier; digitally assisted low noise amplifier; frequency 4 MHz; frontend readout electronics; photon count rate performance; signal processing charge sensitive amplifier; single photon counting architecture; single photon counting system; size 40 nm; Capacitance; Detectors; Noise; Photonics; Resistance; Switches; Transistors; ASIC; charge sensitive amplifier; low noise; multichannel processing; single photon counting detectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
Type :
conf
DOI :
10.1109/ICIT.2015.7125300
Filename :
7125300
Link To Document :
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