CFP last date
20 December 2024
Reseach Article

Gamma Ray Spectrometer Data Processing Technique to Reduce the Influence of Statistical Fluctuation and Random Noise

by Krishna Patel, Dipak Kumar Panda, Ritesh Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 165 - Number 3
Year of Publication: 2017
Authors: Krishna Patel, Dipak Kumar Panda, Ritesh Patel
10.5120/ijca2017913830

Krishna Patel, Dipak Kumar Panda, Ritesh Patel . Gamma Ray Spectrometer Data Processing Technique to Reduce the Influence of Statistical Fluctuation and Random Noise. International Journal of Computer Applications. 165, 3 ( May 2017), 33-36. DOI=10.5120/ijca2017913830

@article{ 10.5120/ijca2017913830,
author = { Krishna Patel, Dipak Kumar Panda, Ritesh Patel },
title = { Gamma Ray Spectrometer Data Processing Technique to Reduce the Influence of Statistical Fluctuation and Random Noise },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 165 },
number = { 3 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume165/number3/27555-2017913830/ },
doi = { 10.5120/ijca2017913830 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:11:26.345023+05:30
%A Krishna Patel
%A Dipak Kumar Panda
%A Ritesh Patel
%T Gamma Ray Spectrometer Data Processing Technique to Reduce the Influence of Statistical Fluctuation and Random Noise
%J International Journal of Computer Applications
%@ 0975-8887
%V 165
%N 3
%P 33-36
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper introduces smoothing method for gamma ray spectra. Motive of this method is to reduce the influence of statistical fluctuations and the random noise. Because of fluctuation, data prohibit for accurate estimation of composition of sample. In this work we have used the laboratory based data obtained from the Gamma Ray Spectrometer (GRS) developed in our laboratory using different scintillation detector like LaBr3:Ce/CeBr3. The digitized data from the developed GRS instrument are readout to computer through a NI DIO (National Instruments Digital Input/Output) card. Data acquisition system has been developed in LabVIEW to generate the gamma spectrum.

References
  1. M. H. Zhu, L. G. Liu, Z. You and A. A. Xu, "Least-Squares Fitting of Gamma-Ray Spectra with B-Spline Basis Functions," Image and Signal Processing, 2008. CISP '08. Congress on, Sanya, Hainan, 2008, pp. 691-695.
  2. S. Sharma, C. Bellinger, N. Japkowicz, R. Berg and K. Ungar, "Anomaly detection in gamma ray spectra: A machine learning perspective," 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, Ottawa, ON, 2012, pp. 1-8.
  3. T. Burr, N. Hengartner, E. Matzner-Lober, S. Myers and L. Rouviere, "Smoothing Low Resolution Gamma Spectra," in IEEE Transactions on Nuclear Science, vol. 57, no. 5, pp. 2831-2840, Oct. 2010.
  4. V. Barnabé-Lortie, C. Bellinger and N. Japkowicz, "Smoothing gamma ray spectra to improve outlier detection," the 2014 Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), Hanoi, 2014, pp. 1-8.
  5. T. H. Prettyman et al., "CdZnTe gamma-ray spectrometer for orbital planetary missions," in IEEE Transactions on Nuclear Science, vol. 49, no. 4, pp. 1881-1886, Aug 2002.
  6. E. P. Binnall, "Instrumentation and Computer Based Data Acquisition for in-Situ Rock Property Measurements," in IEEE Transactions on Nuclear Science, vol. 27, no. 4, pp. 1291-1298, Aug. 1980.
  7. J. Anderson et al., "Data Acquisition and Trigger System of the Gamma Ray Energy Tracking In-Beam Nuclear Array (GRETINA)," in IEEE Transactions on Nuclear Science, vol. 56, no. 1, pp. 258-265, Feb. 2009.
  8. C. Granja, J. Jakubek, Y. Kopatch, S. Pospisil, S. Telezhnikov and Z. Vykydal, "Position-, spectral- and time-sensitive spectroscopy of fission fragments with TimePix pixel detectors," 2008 IEEE Nuclear Science Symposium Conference Record, Dresden, Germany, 2008, pp. 1659-1660.
  9. J. F. Amann, R. L. Boudrie, H. A. Thiessen, C. L. Morris and L. E. Smith, "Data Acquisition and Analysis on the High Resolution Magnetic Spectrometers at LAMPF," in IEEE Transactions on Nuclear Science, vol. 26, no. 4, pp. 4389-4394, Aug. 1979.
  10. D. K. Panda, D. Banerjee, S. K. Goyal, A. R. Patel and A. D. Shukla, "Development of a cerium-doped lanthanum bromide gamma-ray spectrometer for planetary missions and feasibility studies for determination of elemental abundances of radioactive elements (Th, K and U)," in RESEARCH COMMUNICATION, Current Science, VOL. 110, NO. 11, 10 JUNE 2016
  11. W. C. Feldman, B. L. Barraclough, K. R. Fuller, D. J. Lawrence, S. Maurice, M. C. Miller, and T. H. Prettyman, “The Lunar Prospector gamma-ray and neutron spectrometers,” Nucl. Instrum. Methods, vol. A422, no. 1–3, pp. 562–566, Feb. 1999.
Index Terms

Computer Science
Information Sciences

Keywords

Gamma Rays Smoothing Noise.