Estimations of level density parameters by using artificial neural network for phenomenological level density models

Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah

doi:10.1016/j.apradiso.2020.109583

Cited by 20 publications

(5 citation statements)

References 17 publications

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“…Spin distributions from the Fermi gas model (Gilbert & Cameron 1965;Koning et al 2017) were implemented for the unknown spins. Level density models based on this model are widely utilized for nuclei in the intermediate mass range and beyond (Garrett et al 2001;Schiller et al 2001;Long et al 2017Long et al , 2018Rahman & Zubair 2020;Özdoğan et al 2021). The spin distribution function can be written as…”

Section: Spinsmentioning

confidence: 99%

Estimation of the NiCu Cycle Strength and Its Impact on Type I X-Ray Bursts

Kim

Chae

Cha

et al. 2022

ApJ

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Type I X-ray bursts (XRBs) are powered by thermonuclear burning on proton-rich unstable nuclides. The construction of burst models with accurate knowledge of nuclear physics is required to properly interpret burst observations. Numerous studies that have investigated the sensitivities of burst models to nuclear inputs have commonly extracted the strength of the NiCu cycle in the rp process, determined by the 59Cu(p,α)56Ni and 59Cu(p,γ)60Zn thermonuclear reaction rates, as critical in the determination of reaction flow in the burst. In this study, the strength of the cycle at the XRB temperature range was estimated based on published experimental data. The nuclear properties of the compound nucleus 60Zn were evaluated for the 59Cu(p,α)56Ni and 59Cu(p,γ)60Zn reaction rate calculations. Monte Carlo rate calculations were conducted to include the large uncertainties of nuclear properties in the calculations. In the current work, a weak NiCu cycle is expected, whereas the rates adopted by the previous studies suggest a strong NiCu cycle. Model simulations were performed with the new rates to assess the impact on Type I XRBs. The results show that the estimated cycle strength does not strongly influence the model predictions of the burst light curve or synthesized abundances.

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Section: Spinsmentioning

confidence: 99%

Estimation of the NiCu Cycle Strength and Its Impact on Type I X-Ray Bursts

Kim

Chae

Cha

et al. 2022

ApJ

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“…64 Cu is linked to a variety of bio molecules and can be used as theragnostic agents in human malignancies such as prostate, breast cancers, melanoma, glioblastoma and also diagnosis of human copper-associated diseases such as atherosclerosis, alzheimer's disease etc. In the field of radionuclide production for medical applications, it is sophisticated way to accompany the experimental cross section with the theoretical calculation of the same, using a suitably developed simulation software, based on the theory of the nuclear reaction models involved [4,5,6]. Besides being of interest for the development of nuclear models, the measurement of nuclear reaction cross sections over a broad energy range is also a crucial step in the determination of optimum conditions for a production route.…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis of proton induced reactions to generate recommended data for the production of medical radio-isotopes

Mondal¹,

Gandhi²,

Pachuau³

2022

Preprint

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Radio-isotopes produced via proton induced reaction holds special significance regarding nuclear medicine, astrophysical p-process, theragnostic and diagnostic processes. 76 Br, 80m Br and 61 Cu are positron emitter and they are useful in the functional studies via Positron Emission Tomography (PET), whereas 77 Br bears the potential for the application in Single Photon Emission Computed Tomography (SPECT) which involves electron capture process. PET and SPECT have been in high application in medical physics, diagnostics, therapy and nuclear medicine. 99m Tc and 64 Cu are two popular radionuclide which play important role in nuclear medicine, currently being used in bio-medical physics, bone scan, modern imaging, blood pool leveling, oncology and diagnosis of copper related diseases. This paper focus on the generation of recommended nuclear reaction cross sections for the production of some useful medical radio-isotopes using the experimental datasets obtained from EXFOR database and simulated datasets from nuclear reaction model codes TALYS-1.95 and EMPIRE-3.1.1. 95% confidence interval has been implemented to ensure confidence and precision.

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“…TheKalbach-Mann systematics (Kalbach and Mann, 1981;Kalbach, 1982) arepreferred for DDX calculations in the code because of play an important role in the pre-equilibrium reaction studies.For compound and direct processes, Hauser-Feshbach,exciton model, and optical model parameters are used (Hauser and Feshbach, 1952;Koning and Delaroche, 2003). There are many theoretical studies (Yiğit, 2021;Özdoğan et al, 2021a;Sadeghi et al, 2010;Kara et al, 2021;Şekerci et al, 2020;Kaplan et al, 2015;Kaplan et al, 2013;Özdoğan, 2021;Küçüksucu et al, 2022;Özdoğan et al, 2021b;Canbula, 2021;Canbula, 2017;Canbula, 2020) using Talys computer code for neutron induced or neutron emission nuclear reactions in the literature.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Double Differential Cross Section for Neutron Induced and Neutron Emission Reaction of 209Bi Isotope

Canbula

2022

International Journal of Pure and Applied Sciences

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The double-differential cross sections (DDX) of neutron induced and neutron emission reaction of 209Bi isotope are calculated and analysed at neutron emission energies below 7 MeV at 3 laboratory angles between 200 and 1500 . In the calculations, the latest version of Talys 1.96 is utilized to calculate the total, direct, pre-equilibrium and compound cross sections, which are obtained using the same parameters. The contributions of direct, pre-equilibrium and compound processes to the total cross section are separately investigated. It is presented that the compound part has the greatest contribution. The calculation results are compared with the existing experimental data taken from EXFOR library.

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Estimations of level density parameters by using artificial neural network for phenomenological level density models

Cited by 20 publications

References 17 publications

Estimation of the NiCu Cycle Strength and Its Impact on Type I X-Ray Bursts

Estimation of the NiCu Cycle Strength and Its Impact on Type I X-Ray Bursts

Statistical analysis of proton induced reactions to generate recommended data for the production of medical radio-isotopes

Analysis of Double Differential Cross Section for Neutron Induced and Neutron Emission Reaction of 209Bi Isotope

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