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Alpha half-lives calculation of superheavy nuclei with Q$ _{ α }$-value predictions based on the Bayesian neural network approach
| Content Provider | Scilit |
|---|---|
| Author | Rodríguez, Ubaldo Baños Vargas, Cristofher Zuñiga Gonçalves, Marcello Gomes Duarte, Sergio Barbosa Guzmán, Fernando |
| Copyright Year | 2019 |
| Description | Journal: Journal of Physics G: Nuclear and Particle Physics In this work we performed a systematic study of the α-decay process by employing the Bayesian neural network approach. The $Q_{α}$-value prediction of the ten parameters Duflo-Zuker mass model has been improved from a root-mean-square deviation relative to the experimental data σ=0.43 MeV to σ= 0.122 MeV. This correction brought to light some missing physical aspects in the DZ mass model, so as to identify some magic numbers not present in the original model. By using a phenomenological effective model to deal with alpha decay half-lives, we were able to obtain the half-life values throughout the super heavy elements region. As main result, we found that the region of greatest stability against the alpha-decay process for super-heavy elements is located between 106 ≤ Z ≤ 110 and 180 ≤ N ≤ 184. |
| Related Links | https://iopscience.iop.org/article/10.1088/1361-6471/ab2c86/pdf |
| ISSN | 09543899 |
| e-ISSN | 13616471 |
| DOI | 10.1088/1361-6471/ab2c86 |
| Journal | Journal of Physics G: Nuclear and Particle Physics |
| Issue Number | 11 |
| Volume Number | 46 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-06-26 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics G: Nuclear and Particle Physics Nuclear Physics Decay Process Half Lives |
| Content Type | Text |
| Resource Type | Article |
| Subject | Nuclear and High Energy Physics |
