An efficient Ba[Pt(CN)4] wireless radioactive sensor with noise adjusted principal component analysis

Abstract

Detection of Radioactive rays is essential research in Nuclear Physics field. This paper deals with the design of radioactive wireless sensor by a novel approach of Principal component analysis (PCA) and with a realizable scintillator design. Former, very few radioactive sensor sensed β rays only from radioactive element by wired network. But innovatively, the proposed wireless radioactive sensor senses a, β and γ rays from the hazardous radiation and transmit the sensed signal by wireless network. The past works of radioactive sensor (RAS) are not realizable and exist only as a prototype. Hence our work towards the RAS is realizable and reliable. Innovatively, this wireless radioactive sensor (WRAS) based on Barium Platino Cyanide Ba[Pt(CN)4] scintillator and Photo multiplier tube (PMT) with Charge coupled devices (CCD). The photon particle from the scintillator is typically measured with a PMT. PMT is attached with small signal voltage amplifier to amplify photo-electric signal. The photo electric signal is used to count α, β and γ rays. If count is in the acceptable range then that will be transmitted to the destination with the wireless network. Moreover Number of sensor used to detect the hazards is calculated in optimized way by Basien stochastic priori estimates of target location and source intensity. Noise from the environment mixed with the transmitted signal is eliminated by principal component analysis. After PCA, the received signal is accurately decoded this will decrease error floor performance of wireless network. Hence the proposed wireless radioactive sensor is realizable and optimized in count with noise adjusted will yields increase the degree of performance in detection of radioactive material.