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- MakaleYalnız künye2026Scopus SJRQ3Purity of Density Operators for Non-Orthogonal Quantum States with Bounds and Applications to Quantum Fisher Information
Amirov, Orhan; Celik, Necati; Karabacak, Mesut
In this study, we investigate the purity of density operators constructed from non-orthogonal quantum states. Starting from a general statistical mixture of normalized states, we derive an explicit expression for the purity in terms of the associated probability distribution and the pairwise overlaps between the states, quantified by |⟨ψi|ψj⟩|2. This formulation clearly separates the contributions arising from classical probability weights and quantum interference effects induced by non-orthogonality. To further analyze the impact of state overlaps, we introduce an average overlap quantity that captures the global contribution of non-orthogonal components. Based on this representation, we establish upper bounds for the purity using both global and local overlap parameters. In particular, we show that the purity can be effectively controlled by the maximum pairwise overlap, eliminating the need to compute all individual inner products explicitly. A refined bound is also obtained by incorporating local overlap measures, leading to a tighter characterization of the system. In addition, we develop a general framework connecting overlap-based purity bounds with quantum Fisher information (QFI) in parameter-dependent quantum systems. We show that the overlap structure can be used to indirectly control and estimate the behavior of QFI, especially in cases where direct spectral analysis is not tractable. The applicability of the proposed approach is demonstrated through an explicit example involving non-orthogonal qubit states. These results provide a practical framework for estimating the mixedness of quantum states and offer useful insights into the interplay between non-orthogonality, purity, and quantum Fisher information in quantum information theory.
- MakaleYalnız künye2025Scopus SJRQ3Interpretable machine learning for rapid prediction and calibration of HPGe detector efficiency: a physics-informed approach and online platform
Yesilkanat, Cafer Mert; Celik, Necati; Celik, Ahmet; Cevik, Ugur
This study introduces a novel, physics-informed, and calibration-friendly hybrid machine learning framework for the rapid and accurate prediction of the Full Energy Peak (FEP) efficiency in High-Purity Germanium (HPGe) detectors. To overcome the limitations of conventional “black-box” models, our two-stage approach first represents the FEP efficiency curve using a physically interpretable logarithmic polynomial. Subsequently, machine learning models were trained to predict the polynomial coefficients directly from the detector geometric parameters using a comprehensive dataset generated via Monte Carlo simulations. Among the various algorithms tested, the Generalized Linear Model yielded superior performance, achieving R2 values of 0.975–0.992 for the coefficients. While raw model predictions showed expected variability, a key feature of our framework (a single-point calibration protocol using one known efficiency value) dramatically improved accuracy, reducing the mean absolute percentage error by an average of 80% on the independent test data. The calibrated model was further validated using an experimental detector. The entire framework was deployed as a user-friendly online platform, enabling researchers to instantly generate and calibrate efficiency curves. Our work successfully harmonizes interpretability, speed, and accuracy, offering a powerful tool for the design, optimization, and routine calibration of HPGe detectors.
AtıfScopus4WoS3OpenAlex3İncele - MakaleAçık Erişim2018Scopus SJRQ1Indoor and outdoor radon measurements at lung cancer patients’ homes in the dwellings of Rize Province in Turkey
Özen, Songül Akbulut; Celik, Necati; Dursun, Emrehan; Taskın, Halim
In this study, indoor and outdoor radon (222Rn) surveys were carried out in the summer and winter seasons in homes of one hundred lung cancer patients in the year 2013–2014. The aim was to investigate the relationship between radon and cancer patients. Lung cancer patients completed a questionnaire concerning their living environment, various physical parameters and living habits. Pearson correlation and t tests revealed no meaningful results between radon concentrations, on one hand, and environmental and personal living habits, on the other hand. Consequently, the BEIR VI model was adapted and 222Rn exposure was estimated to be responsible for about 12% of the lung cancer incidences in the winter season and around 5% in the summer season in the Rize Province. However, due to the limited number of data and numerous parameters that could lead to lung cancer, the estimations done with the model should be taken very lightly. The annual effective doses due to inhalation of indoor and outdoor 222Rn were estimated to be, respectively, 1.43 and 0.94 mSv y−1. The indoor and outdoor annual effective doses were, respectively, close and below the world annual effective dose (1.3 mSv y−1). At the district level, the indoor annual effective dose equivalent in the İyidere district was 4.52 mSv y−1, which was 3.5 times greater than the world average. The number of patients in the majority of the houses in this district was more than one.
AtıfScopus31WoS27OpenAlex33İncele - MakaleYalnız künye2017Scopus SJRQ3Radioactivity measurements and risk assessments of spa waters in some areas in Turkey
Duran, Selcen Uzun; Kucukomeroglu, Belgin; Damla, Nevzat; Taskin, Halim; Celik, Necati; Cevik, Uğur; Ersoy, Hakan
The current study presents the results of the activity of radionuclides in spa waters, and evaluates their radiological influences on the population consuming these waters in the Central and Eastern Black Sea regions of Turkey. Since these waters are used for therapy and consumption purposes unconsciously, their radiological impact on the people was computed by taking into consideration the annual intake through ingestion of 226Ra, 232Th, 40K, 137Cs and 222Rn. The mean activities were estimated to be 11.35 for gross alpha, 6.23 for gross beta, 2.96 for 226Ra, 0.42 for 232Th, 0.069 for 137Cs, 0.19 for 40K, and 267 Bq L–1 for 222Rn, respectively. The estimated effective doses from spa water were found to be 49.77 µSv a–1 (226Ra), 5.95 µSv a–1 (232Th), 0.07 µSv a–1 (137Cs), 0.83 µSv a–1 (40K) and 56.03 µSv a–1 (222Rn). These values were evaluated and compared with related verified values from literature. Also, physico-chemical characterizations of spa water samples considered in the current study were investigated. This study would be useful for consumers and official authorities for the assessment of radiation exposure risk due to usage of the considered spa waters.
AtıfScopus10WoS10OpenAlex12İncele - MakaleYalnız künye2016Scopus SJRQ2A New Approach for Determination of Volumetric Water Content in Soil Samples by Gamma-Ray Transmission
Celik, Necati; Altin, Duygu; Cevik, Ugur
A new method was presented for the purpose of volumetric water content determination in any soil sample by gamma-ray transmission. Monte Carlo (MC) simulation technique was used to determine the functional behavior of the linear attenuation coefficient of soil samples having different water contents for three soil samples. Using this functional behavior, the linear attenuation coefficients of dry soil and water were obtained from the intercept and the slope, respectively. It was experimentally shown that the mass attenuation coefficients of soil samples were not sensitive to the chemical composition but only to the physical density. This independence was exploited in this study to obtain the linear attenuation coefficient of a completely dry soil which was found to be 0.1409, 0.1274, and 0.1657 cm−1 for Gumushane, Ardahan, and Trabzon soil, respectively. The linear attenuation coefficient of water was determined to be 0.09 cm−1. Then, the volumetric water contents were obtained by measuring the gamma-ray intensities passed through three wet soil samples. The results were found to be 0.186, 0.182, and 0.214 cm3 cm−3 for Gumushane, Ardahan, and Trabzon soil, respectively. The results obtained by the method introduced were compared with the results obtained using gravimetric method. A very good agreement was observed.
AtıfScopus7WoS7OpenAlex8İncele - MakaleYalnız künye2015Scopus SJRQ2Building-up a code for the purpose of TRUE coincidence summing correction in gamma-ray spectrometry with EGS4
Celik, Necati; Altin, Duygu; Cevik, Ugur
In the presented study, a code was created for the purpose of true coincidence summing (TCS) correction factors for 134Cs. The created code was implemented in EGS4 Monte Carlo simulation package. TCS factors were determined for nine different energies for different detector-source geometries. The calculated results were successfully validated by an empirical method using a point 134Cs radioactive source and a p-type HPGe detector having 55% relative efficiency. Although the code created gives TCS factors only for 134Cs, the technique presented can be used to obtain the factors for any radionuclide used in gamma-ray spectrometry.
AtıfScopus5WoS4OpenAlex4İncele - MakaleYalnız künye2013Heavy metal analysis by moss species in the Black Sea region of Turkey
Koz, Bahadir; Cevik, Ugur; Bulut, Volkan Numan; Kaya, Selim; Gundogdu, Ali; Celik, Necati
The heavy metal analysis of mosses in the Black Sea region of Turkey was determined using atomic absorption spectrometry method. The procedure was also validated by analysis of standard reference material (IAEA-336 Lichen). A qualitative analysis showed that the samples contained chromium, manganese, cobalt, nickel, copper, zinc, and lead. While the mean concentration values of Cr, Mn, Co, Ni, Cu, Zn, and Pb in the moss samples collected from city centers are 60.6, 820, 12.2, 18.8, 293, 181 and 39.8 mg.kg-1, the mean concentration values in the moss samples collected from the city intervals are 43.8, 761, 11.0, 15.6, 242, 170 and 38.4 mg.kg-1, respectively. Since this study was a heavy metal analysis along the highway, evaluation of these elements with their potential hazards for ecology and human was briefly discussed. A strong relationship was observed between Pb concentration and the traffic density.
AtıfScopus2WoS2İncele - MakaleYalnız künye2012Elemental and radioactivity analyses of mosses collected in hatila valley national park - Eastern black sea region of Turkey
Koz, Bahadir; Cevik, Ugur; Celik, Necati
This study was performed in one of the most important parks of Turkey, the Hatila national park, where a gold mining activity is planned to be conducted. For this purpose, 40 moss samples were collected for heavy metal and radioactivity measurements. A radioisotope excited Xray fluorescence analysis using the method of multiple standard additions was applied for the elemental analysis of mosses collected in Hatila valley national park in the Eastern Black Sea region of Turkey. An annular 50 mCi 241Am radioactive source and annular 50 mCi 55Fe radioactive sources were used for excitation of characteristic K-X rays. An Si(Li) detector which had a 147eV full width at half maximum for 5.9 keV photons was used for intensity measurements. A qualitative analysis of spectral peaks showed that the samples contained potassium, calcium, titanium, iron, tin and barium with average concentrations of 230, 5340, 450, 70, 4 and 33 mg.kg -1, respectively. 137Cs and 40K using gamma-ray spectroscopy were determined in 40 moss species collected from the Hatila valley national park. Average activity concentrations of 40K and 137Cs were found to be 103 and 272 Bq.kg -1, respectively. As the region was shown to be heavily contaminated by the Chernobyl accident, the high concentration of 137Cs could be due to this accident. The results are compared with those obtained in different parts of the world where gold mining activities are being conducted. The possible consequences of these results are briefly discussed from the point of potential hazards to ecology and human health.
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