Proton drip line evaluation by complementing the Finite Range Droplet Model with neural networks
Περίληψη
We evaluate the location of the proton drip line in the regions 31≤Z≤49 and 73≤Z≤91 based on the one- and two-proton separation energies predicted by our latest Hybrid Mass Model. The latter is constructed by complementing the mass-excess values ΔM predicted by the Finite Range Droplet Model (FRDM) of Moeller et al. with a neural network model trained to predict the differences ΔMexp − ΔMFRDM between these values and the experimental mass-excess values published in the 2003 Atomic Mass Evaluation AME03.
Λεπτομέρειες άρθρου
- Πώς να δημιουργήσετε Αναφορές
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Athanasopoulos, S., Mavrommatis, E., Gernoth, K. A., & Clark, J. W. (2020). Proton drip line evaluation by complementing the Finite Range Droplet Model with neural networks. Annual Symposium of the Hellenic Nuclear Physics Society, 15, 258–261. https://doi.org/10.12681/hnps.2608
- Τεύχος
- Τόμ. 15 (2006): HNPS2006
- Ενότητα
- Poster contributions
Αναφορές
H. Schatz et al. Phys. Rep. 294, 167 (1998); H. Schatz, astro-ph/0607625.
M. Pfuetzner, Nucl. Phys. A738, 101 (2004).
P. Moeller, J. R. Nix, W. D. Myers, W. J. Swiatecki, At. Data Nucl. Data Tables 59, 185 (1995)
P. Moeller, J. R. Nix, K. L. Kratz, At. Data Nucl. Data Tables 66, 331
(1997).
K. A. Gernoth, in Scientific Applications of Neural Nets, J. W. Clark, T. Lindenau, and M. L. Ristig, eds. (Springer-Verlag, Berlin, 1999), p. 139.
S. Athanassopoulos, E. Mavrommatis, K. A. Gernoth, J. W. Clark, Nucl. Phys. A743, 222 (2004), and references therein.
S. Athanassopoulos, E. Mavrommatis, K. A. Gernoth, J. W. Clark, to be published.
G. A. Lalazissis, D. Vretenar, P. Ring, Nucl. Phys. A719, 209 (2003); G. A. Lalazissis, D. Vretenar, and P. Ring, Phys. Rev. C 69, 017301 (2004).
G. Audi, A. H. Wapstra, C. Thibault, Nucl. Phys. A729, 337 (2003).
M. Thoennessen, nucl-ex/0601041.
