Sürdürülebilir Kalkınma Amaçları

  • MakaleAçık Erişim2026Scopus SJRQ3
    Enhancing precision of low-cost detectors via machine learning for accurate mass attenuation coefficient estimation

    Düzgün, İ.; Küçük, M.A.; Kaya, S.; Çelik, N.

    Low-cost NaI(Tl) detectors are practical for gamma-ray spectrometry but their limited energy resolution can introduce systematic errors in mass attenuation coefficient measurements when scattered photons are included in the peak region. This study proposes a machine-learning correction framework that maps NaI(Tl)-derived attenuation coefficients to XCOM-based HPGe-equivalent reference values through a dimensionless correction factor. An EGS4/XCOM dataset of 756 model-development configurations, covering 18 atomic numbers, six monoenergetic photon energies, and seven collimator radii, was used to train twelve regression models and evaluate them over 60 randomized train–validation–test cycles. Sodium and Bismuth were withheld for external material-wise validation. Gaussian Process Regression with a Matérn 5/2 kernel provided the best overall testing performance. For the withheld materials, the correction reduced the mean deviation from XCOM references from 3.07% to 0.83%, supporting its use as a practical correction layer for low-cost attenuation measurements.

  • MakaleYalnız künye2020Scopus SJRQ3
    PUC program: The pulse pile up correction for x-ray and gamma ray spectrometry

    Karabıdak, S.M.; Kaya, S.

    Pile up and dead time are two important corrections in the analysis of X-ray and gamma ray spectra. The most important of these is pile up correction because these peaks do not really exist in the spectra; they only seem to exist. For this reason, these peaks affect both the qualitative and quantitative accuracy of the analysis. In addition, the pile up pulses forming the pile up peaks increase the background count in the spectrum. Companies that produce X-ray or gamma ray detector systems design pile up reject circuits and integrate them into detector systems to prevent these pulses. These circuits have time limitations because they are made up of electronic devices. For this reason, the pile up problem cannot be solved completely in these circuits. Therefore, mathematical models based on a statistical approach are needed. Such a model was developed in this study. A computer program based on this model was developed. This developed program has been applied to X-ray and gamma ray spectra. It has been shown that this model provides about 2% correction in the main peak regions and significantly reduces background counts.

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  • MakaleYalnız künye2019Scopus SJRQ2
    Cancer risk analysis of some drinking water resources in Gümüşhane, Turkey

    Karabıdak, Salih M.; Kaya, A.; Kaya, S.

    Water; it is the basic necessity of living things that exist in the world like air and food. An adult person consumes an average of 2 L of water per day by drinking. This consumed water contains a number of radionuclides. For this reason, it is important to determine the effect of these radionuclides on human biological structure. In studies up to now, researchers calculate activity concentrations of radionuclides in drinking water and calculate annual equivalent doses based on these activity concentrations. However, it is always overlooked that this consumption is constant in calculations. This results in the inability of drinking water to fully determine the effect on human health. In this study, a new and comprehensive perspective was introduced in the gamma analysis of drinking water. This viewpoint includes the activity concentration, the annual equivalent dose, lifetime average annual dose, and lifetime cancer risk assessment depending on age groups. Thus, it is aimed that the radionuclides present in water can make more reliable calculations on affecting human health and water cleaning in terms of radiation. The proposed model was applied to some drinking water sources in Gümüşhane. We found out that the obtained values of annual effective dose equivalent in all samples do not exceed the WHO recommended levels. The risk of cumulative cancer at the end of the 70th year of a person using these drinking water sources has been about determined as 1 in 100,000. Positive correlations were obtained between 226Ra, 232Th, and 40K concentrations versus pH. In addition, a negative correlation was obtained 40K concentration with conductivity.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 6 · Temiz Su ve Sanitasyon
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  • BildiriYalnız künye2017
    The determination of the pulse pile-up reject (PUR) counting for X and gamma ray spectrometry

    Karabidak, S.M.; Kaya, S.; Akkus, B.; Dogan, G.S.; Oktem, Y.; Guzelcimen, F.

    The collection the charged particles produced by the incident radiation on a detector requires a time interval. If this time interval is not sufficiently short compared with the peaking time of the amplifier, a loss in the recovered signal amplitude occurs. Another major constraint on the throughput of modern x or gamma-ray spectrometers is the time required for the subsequent the pulse processing by the electronics. Two above-mentioned limitations are cause of counting losses resulting from the dead time and the pile-up. The pulse pile-up is a common problem in x and gamma ray radiation detection systems. The pulses pile-up in spectroscopic analysis can cause significant errors. Therefore, inhibition of these pulses is a vital step. A way to reduce errors due to the pulse pile-up is a pile-up inspection circuitry (PUR). Such a circuit rejects some of the pulse pile-up. Therefore, this circuit leads to counting losses. Determination of these counting losses is an important problem. In this work, a new method is suggested for the determination of the pulse pile-up reject.

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  • MakaleYalnız künye2011Scopus SJRQ2
    Determination of proper peaking time for Ultra-LEGe detector

    Karabidak, S. M.; Kaya, S.; Çevik, U.; Çelik, A.

    Reducing count losses and pile-up pulse effects in quantitative and qualitative analysis is necessary for accuracy of analysis. Therefore, the proper peaking time for particular detector systems is important. The characteristic X-rays emitted from pure some elements were detected by using an Ultra-LEGe detector connecting a Tennelec TC 244 spectroscopy amplifier at different peaking time modes. Overall pulse widths were determined by an HM 203-7 oscilloscope connecting amplifier. The proper peaking time for Ultra-LEGe is determined as 3.84 mu s. (C) 2011 Elsevier Ltd. All rights reserved.

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