Experimental evaluation of the SNR in counting detectors under pile-up conditions

Author:

Magalhaes Debora,Fajardo Pablo,Grybos Pawel,Kleczek Rafal,Kmon Piotr,Otfinowski Piotr,Ruat Marie

Abstract

Abstract As a follow-up of a Signal-to-Noise Ratio (SNR) study presented previously, this work discusses the experimental results obtained for the statistical analysis of photon counting detector measurements. The test device is a hybrid assembly built with a pixelated 400 μm thick electron collection Si sensor bump-bonded to a SPHIRD test readout ASIC. The analog front-end in each pixel of the ASIC produces a pulse of tens of nanoseconds for each X-ray hit, and its digital circuitry implements both amplitude and time-based pile-up compensation methods, making this device an excellent candidate for this study. Under pile-up conditions, the SNR of the photon counting measurements deviates from Poisson statistics and it has been evaluated by applying the numerical method introduced in a previous work. In addition to standard photon counting operation, two pile-up compensation methods implemented in SPHIRD were tested. The results were evaluated for individual pixels. The standard photon counting results reproduce the simulated behavior, presenting a SNR response that peaks around 30% pile-up, and then drops. Meanwhile, both pile-up compensation methods have presented a comparable effect on improving not only the count rate but also the statistical response of the system, for the covered count-rate range of up to 45Mcps/pixel. The obtained results validate the presented methodology to obtain the SNR, also elucidating the pile-up detrimental effect on the statistical quality of the data.

Publisher

IOP Publishing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3