Giant Dipole Resonence Energy Predictions For 116,117,118,119,120,124Sn and 233,234,235,236,238U Isotopes

Akkoyun, Serkan; Bayram, Tuncay; Özgüven, Yücel

doi:10.5578/fmbd.57408

AKU-J. Sci. Eng.

2017

DOI: 10.5578/fmbd.57408

|View full text |Cite

Giant Dipole Resonence Energy Predictions For 116,117,118,119,120,124Sn and 233,234,235,236,238U Isotopes

Serkan Akkoyun¹,

Tuncay Bayram²,

Yücel Özgüven³

Abstract: Anahtar kelimelerDev dipol rezonans, E1 geçişi, yapay sinir ağları ÖzetDev dipol rezonans (GDR) parametrelerini elde etmek için birçok deneysel ve teorik metot uygulanmaktadır.Bu çalışmada, Sn ve U izotopları için GDR enerjileri, yapay sinir ağları (YSA) metodu ile tahmin edilmiştir. Sonuçlara göre, YSA'nın eğitiminde deneysel verilerden ortalama sapma, %1 seviyesindedir. Sn ve U izotopları için tahmin edilen enerjilerdeki ortalama kare hata, 0,034 MeV'dir.Teorik bir model için ise hata, 0,061 MeV'dir.Bu sonuç… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Understanding the relationship between electric dipole polarizability and photonuclear (-2) moment in odd-A actinide nuclei

Kemah,

Yakut,

Tabar

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

The nuclear electric dipole (E1) polarizability (α E1) is mainly dominated by the dynamics of the giant dipole resonance (GDR). α E1 is proportional to the (-2) moment of the total photo nuclear cross-section (σ −2). This research investigates the relationship between α E1 and σ −2, along with the effects of the Pygmy Dipole Resonance (PDR) and GDR in odd-mass actinide nuclei. For the first time, α E1 and σ −2 values have been calculated using the Translational and Galilean Invariant Quasiparticle Phonon Nuclear Model (TGI-QPNM) approach for odd-A actinide nuclei. According to TGI-QPNM results, E1 dipole transitions in the GDR region significantly contribute to σ −2 due to the energy weighting factor. Below the neutron separation threshold, the PDR in neutron-rich nuclei shows a contribution of about 5% to σ −2 values. In this region, E1 polarizability can reach values of 20%–25%. The α E1 values indicate the presence of PDR in these nuclei. Additionally, the Adaptive Neuro-Fuzzy Inference System (ANFIS), a new machine learning method, has been performed to analyze the relationship between α E1 and σ −2. The ANFIS results have been compared with those from the TGI-QPNM and experimental data. The TGI-QPNM model achieves an R2 of 0.85–0.95, while the ANFIS model achieves an R2 of 0.99. Moreover, the study suggests that the ANFIS model, consistent with TGI-QPNM results, could be an effective tool for estimating σ −2 in odd-A actinide nuclei.

show abstract

Understanding the relationship between electric dipole polarizability and photonuclear (-2) moment in odd-A actinide nuclei

Kemah,

Yakut,

Tabar

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

Integrated photonuclear cross sections in the giant dipole resonance of odd-mass actinide nuclei

Kemah,

Yakut,

Tabar

et al. 2024

Eur. Phys. J. Plus

View full text Add to dashboard Cite

This study explores the integrated total photonuclear cross section (σ0) within the context of the giant dipole resonance (GDR) in odd-mass actinide nuclei. Using artificial neural networks (ANNs) and adaptive neuro-fuzzy ınference system (ANFIS) machine learning algorithms, we analyze the GDR behaviors associated with the σ0 values in these nuclei. The modeling results obtained from ANFIS and ANN are compared among themselves and with the Translational Galilean Invariant Quasiparticle Phonon Nuclear Model (TGI-QPNM) and experimental data. Machine learning analysis and TGI-QPNM results provide valuable insights into the GDR characteristics of odd-mass actinides, shedding light on their photonuclear properties. The ANFIS model has achieved an R2 value of 0.98 and an RMSE of 0.19, while the ANN model (LM) has yielded an R2 value of 0.95 and an RMSE of 0.24. These findings deepen our understanding of nuclear physics, underscoring the role of artificial intelligence techniques in deciphering complex phenomena within nuclear structures. In conclusion, our study suggests that the ANFIS model, in agreement with TGI-QPNM results, generally outperforms the ANN (LM) method and could be a more effective tool for estimating the energy-weighted sum rule for GDR.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Giant Dipole Resonence Energy Predictions For 116,117,118,119,120,124Sn and 233,234,235,236,238U Isotopes

Cited by 2 publications

References 7 publications

Understanding the relationship between electric dipole polarizability and photonuclear (-2) moment in odd-A actinide nuclei

Understanding the relationship between electric dipole polarizability and photonuclear (-2) moment in odd-A actinide nuclei

Integrated photonuclear cross sections in the giant dipole resonance of odd-mass actinide nuclei

Contact Info

Product

Resources

About