Detection  Vol.3 No.4 , October 2015
Analysis of Nuclear Track Parameters of CN-85 Detector Irradiated to Thermal Neutrons by Using MATLAB Program
Abstract: CN-85 detector which covered with boric acid H3Bo3 pellete has been irradiated by thermal neutrons from (241Am-9Be) source with activity 12 Ci and neutron flux 105 n. cm-2. s-1. The irradiation times-TD for detector were 4 h, 8 h, 16 h and 24 h. The track detector has been etched with sodium hydroxide. After chemical etching of the irradiated CN-85 detector, the images have been taken from a digital camera connected to the optical microscope. Image processing for the output images has been performed using MATALB program, and these images were analyzed and we had found the following relations: a) The relation between summation of opened track or surface density for tracks (intensity-IT) varies with radius of opening (track radius-RT). b) The relation between the tracks number-NT varies with the tracks diameter-DT (in micrometer) and tracks area-AT. That analysis of image processing was obtained, and the track intensity-IT was decreased with increase of track radius-RT at all of the irradiation time-TD. And the track intensity-IT was increased with increasing irradiation time-TD (h) for different track radius-RT (0.4225, 0.845, 1.2675 and 1.69 μm). The study indicates the possibility of using the analysis of image processing to CN-85 detector for classification of α-particle emitters through limitation of radius of track-RT, in addition to the contribution of these techniques in preparation of nano-filters and nono-membrane in nanotechnology fields.
Cite this paper: Al-Jobouri, H. , Rajab, M. and Najam, L. (2015) Analysis of Nuclear Track Parameters of CN-85 Detector Irradiated to Thermal Neutrons by Using MATLAB Program. Detection, 3, 29-36. doi: 10.4236/detection.2015.34005.

[1]   Sidorov, M. and Ivanov, O. (2010) Nuclear Track Detectors: Design, Methods and Applications. Electrical Engineering Developments.

[2]   Barbui, M., Fabris, D., Moretto, S., Nebbia, G., Nemeth, P., Palfalvi, J., Pesente, S., Prete, G., Sajo-Bohus, L. and Viesti, G. (2009) Nuclear Tracks in PADC Induced by Neutron, Heavy Ion and Energetic Fragments Formed in the Reaction 54Cr + 208Pb at 320 MeV. Radiation Measurements, 44, 857-860.

[3]   Ali, N., Khan, E.U., Ahmad, N., Abbas, S.M. and Iqbal, M.A. (2014) Photo-Spectro-Metric Study of CR-39 Detectors Irradiated with Heavy Ions. Pakistan Journal of Engineering and Applied Sciences, 15, 68-75.

[4]   Saad, A.F., Hamed, N.A. and Abdalla, Y.K. (2013) Identification of Spontaneous Fission Fragments by Using Thermally Annealed PADC Films. Turkish Journal of Physics, 37, 356-362.

[5]   Maheshwari, V., Jain, K.R. and Modi, C.K. (2012) Non-Destructive Quality Analysis of Indian Gujarat-17 Oryza Sativa Sspindica (Rice) Using Image Processing Chetna. International Journal of Computer Engineering Science (IJCES), 2, 48-54.

[6]   Nagle, M., Kiatkamjon, I., Busarakorn, M., Vicha, S. and Joachim, M. (2012) Non-Destructive Mango Quality Assessment Using Image Processing: Inexpensive Innovation for the Fruit Handling Industry. Conference on International Research on Food Security, Natural Resource Management and Rural Development, Gottingen, 19-21 September 2012, 1-4.

[7]   Abdellah, H., El. Kouraychi, A., Abdenabi, B. and Ahmed, R. (2012) Defects Detection and Extraction in Textile Imageries Using Mathematical Morphology and Geometrical Features. Journal of Signal Processing Theory and Applications, 1, 1-16.

[8]   Raju, R., Ch.Ravi, M. and Kumar, S. (2012) Image Processing of Liquid Crystal Mesogen Exhibiting Nematic Phase. Signal & Image Processing: An International Journal (SIPIJ), 3, 13-21.

[9]   Sefidgari, B.L. (2013) Feed-Back Method Based on Image Processing for Detecting Human Body via Flying Robot. International Journal of Artificial Intelligence and Applications (IJAIA), 4, 35-44.

[10]   Patiris, D.L. and Ioannides, K.G. (2009) Discriminative Detection of Deposited Radon Daughters on CR-39 Track Detectors Using TRIAC II Code. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 267, 2440-2448.

[11]   Sato, F., Kuchimaru, T., Kato, Y. and Iida, T. (2008) Digital Image Analysis of Etch Pit Formation in CR-39 Track Detector. Japanese Journal of Applied Physics, 47, 269-272.

[12]   Mostofizadeh, A., Sun, X. and Kardan, M.R. (2008) Improvement of Nuclear Track Density Measurements Using Image Processing Techniques. American Journal of Applied Sciences, 5, 71-76

[13]   Osinga, J.M., Akselrod, M.S., Herrmann, R., Hable, V., Dollinger, G., Jakel, O. and Greilich, S. (2013) High-Accuracy Fluence Determination in Ion Beams Using Fluorescent Nuclear Track Detectors. Radiation Measurements, 56, 294-298.

[14]   Al-Jomaily, F.M., Al-Jobouri, H.A. and Mheemeed, A.K. (2013) Determination of Nuclear Track Parameters for LR-115 Detector by Using of MATLAB Software Technique. Journal of Al-Nahrain University, 16, 117-124.

[15]   Smilgysa, B., Guedesa, S., Moralesb, M., Alvarezb, F., Hadlera, J.C., Coelhoc, P.R.P., Siqueirac, P.T.D., Alencara, I., Soaresa, C.J. and Curvo, E.A.C. (2013) Boron Thin Films and CR-39 Detectors in BNCT: A Method to Measure the 10B(n, α)7Li Reaction Rate. Radiation Measurements, 50, 181-186.

[16]   Ziaie, F., Shadman, M., Yeganegi, S., Mollaie, A. and Majdabadi, A. (2009) Investigation on Polycarbonate Nanomembrane Production Based on Alpha Particles Irradiation. NUKLEONIKA, 54, 157-161.