An ESR Study on 2,4 Diaminotoluene Exposed to Gamma Rays and Application of Machine Learning
Y. Ceylan a, K. Usta b, H. Yumurtaci Aydogmus c, A. Usta d, N. Ceylan e and E. Aras f
aSelcuk University, Department of Physics, Konya, Turkey
bAlanya Alaaddin Keykubat University, Department of Metallurgical and Materials Engineering, Antalya, Turkey
cAlanya Alaaddin Keykubat University, Department of Industrial Engineering, Antalya, Turkey
dAlanya Alaaddin Keykubat University, Department of Mechanical Engineering, Antalya, Turkey
eGiresun University, Department of Chemistry, Giresun, Turkey
fGazi University, Department of Physics, Ankara, Turkey
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The polycrystals of 2,4 diaminotoluene were produced by slow evaporation of solvent. The polycrystalline samples were exposed to 60Co gamma rays with dose rate of 0.950 kGy/h, at room temperature, for 12, 24, 48, and 72 hours. The electron paramagnetic resonance measurements were carried out on these samples in the temperature range between 298 K and 400 K. No electron paramagnetic resonance signal was observed in the samples irradiated for 12, 24, 48 hours. Two types of radicals were detected using ESR spectrometer in the sample irradiated for 72 h. These radiation damage centers were called RI and RII. The average values of g and the hyperfine coupling constant were calculated. This study also investigates the potential usage of machine learning methods and aims to test the success of these methods and to select the best method.

DOI: 10.12693/APhysPolA.130.184
PACS numbers: 87.66.Uv, 36.20.Kd, 39.30.+w, 33.35.+r