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β− -Decay Half-lives Using the ANN Model: Input for the R-Process
| Content Provider | Semantic Scholar |
|---|---|
| Author | Costiris, N. J. Mavrommatis, E. |
| Copyright Year | 2019 |
| Abstract | Full understanding of nucleosynthesis via the r-process continues to be a major challenge for nuclear astrophysics. Apart from issues within astrophysical modeling, there remain significant uncertainties in the nuclear physics input, notably involving the βdecay halflives of neutron-rich nuclei. Both the element distribution on the r-process path and the time scale of the r-process are highly sensitive to β− lifetimes. Since the majority of nuclides that lie on the r-process path will not be experimentally accessible in the foreseeable future, it is important to provide accurate predictions from reliable models. Toward this end, a statistical global model of the β−-decay halflife systematics has been developed to estimate the lifetimes of nuclides relevant to the r-process, in the form of a fully-connected, multilayer feedforward Artificial Neural Network (ANN) trained to predict the halflives of ground states that decay 100% by the β− mode. In predictive performance, the model can match or even surpass that of conventional models of β-decay systematics. Results are presented for nuclides situated on the r-ladders N = 50, 82 and 126 where abundances peak, as well as for others that affect abundances between peaks. Also reported are results for halflives of interesting neutron-rich nuclides on or towards the r-process path that have been recently measured. Comparison with results from experiment and conventional models is favorable. ∗Speaker, Url: www.pythaim.phys.uoa.gr Email addresses: ncost@phys.uoa.gr (N. J. Costiris), emavrom@phys.uoa.gr ( E. Mavrommatis), klaus.a.gernoth@manchester.ac.uk (K. A. Gernoth), jwc@wuphys.wustl.edu (J. W. Clark) 1 43 Proceedings of the 19th Hellenic Nuclear Physics Society Symposium 2010 |
| Starting Page | 43 |
| Ending Page | 43 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| DOI | 10.12681/hnps.2537 |
| Alternate Webpage(s) | http://www.pythaim.phys.uoa.gr/HNPS/ABS_Costiris.pdf |
| Alternate Webpage(s) | https://eproceedings.epublishing.ekt.gr/index.php/hnps/article/viewFile/2537/2413 |
| Alternate Webpage(s) | https://doi.org/10.12681/hnps.2537 |
| Volume Number | 18 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |