Network algorithms for detection of radiation sources
Network algorithms for detection of radiation sources
复制标题
DOI:
10.1016/j.nima.2015.01.037
复制
发表时间:
2015-06-01
影响因子:
1.4
通讯作者:
Wu, Chase Q.
中科院分区:
文献类型:
--
作者:
Rao, Nageswara S. V.;Sen, Satyabrata;Wu, Chase Q.
Networks of radiation counters have been recently developed for detecting low-level, hazardous radiation sources, and they have been utilized in indoor and outdoor characterization tests. Subsequently, the test measurements have been "replayed" using multiple sub-networks, which enabled the analysis of various scenarios beyond the tests. We present a particle filter algorithm that combines measurements from gamma counters across the network to detect radiation sources. Using replays from an outdoor test, we construct a border monitoring scenario that consists of twelve 2 in. x 2 in. NaI detectors or counters deployed on the periphery to monitor a 42 x 42 m(2) region. A Cs-137 source is moved across this region, starting several meters outside and finally moving away from it The measurements from individual, pairs and boundary detectors are replayed using the particle filter algorithm. The algorithm outputs demonstrate, both quantitatively and qualitatively, the benefits of networking all boundary counters: the source is detected meters before it enters the region, while being inside, and until moving several meters away. On the other hand, when counters are used individually or in pairs, the source is detected for much shorter durations, and sometimes not detected at all while inside the region. (C) 2015 Elsevier B.V. All rights reserved.