电邮这篇文章 MACHINE LEARNING IN THE PROBLEM OF NO CORE SHELL MODEL RESULT EXTRAPOLATIONS
- 作者: Sharypov R.E.1, Mazur A.I.1, Shirokov A.M.2
-
隶属关系:
- Pacific National University
- Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics
- 期: 卷 88, 编号 1 (2025)
- 页面: 151–160
- 栏目: PROCEEDINGS OF 74TH INTERNATIONAL CONFERENCE ON NUCLEAR PHYSICS “NUCLEUS-2024: FUNDAMENTAL PROBLEMS AND APPLICATIONS”, 1–5 JULY 2024, DUBNA, RUSSIA. Nuclei. Theory
- URL: https://bakhtiniada.ru/0044-0027/article/view/303738
- DOI: https://doi.org/10.31857/S0044002725010187
- EDN: https://elibrary.ru/GQLEMT
- ID: 303738
如何引用文章
开放存取
##reader.subscriptionAccessGranted##
订阅存取
详细
A method for extrapolating the results of variational calculations to the case of the infinite basis using an ensemble of artificial neural networks is proposed. Extrapolations of the no-core shell model results obtained with nucleon-nucleon interaction Daejeon16 for the ground state energies, as well as for the rootmean-square point-proton, point-neutron and point-nucleon (matter) radii of the 6Li and 6He nuclei, are performed.
作者简介
R. Sharypov
Pacific National University
Email: amazur.pnu.khb@mail.ru
Khabarovsk, Russia
A. Mazur
Pacific National University
Email: amazur.pnu.khb@mail.ru
Khabarovsk, Russia
A. Shirokov
Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics
编辑信件的主要联系方式.
Email: amazur.pnu.khb@mail.ru
Moscow, Russia
参考
- A. Boehnlein, M. Diefenthaler, N. Sato, M. Schram, V. Ziegler, C. Fanelli, M. Hjorth-Jensen, T. Horn, M. P. Kuchera, D. Lee,W. Nazarewicz, P. Ostroumov, K. Orginos, A. Poon, X.-N. Wang, A. Scheinker, et al., Rev. Mod. Phys. 94, 031003 (2022).
- B. R. Barret, P. Navratil, and J. P. Vary, Prog. Part. Nucl. Phys. 69, 131 (2013).
- R. Machleidt, Int. J. Mod. Phys. E 26, 1730005 (2017).
- H. Zhan, A. Nogga, B. R. Barrett, J. P. Vary, and P. Navratil, Phys. Rev. C 69, 034302 (2004).
- P. Maris, J. P. Vary, and A. M. Shirokov, Phys. Rev. C 79, 014308 (2009).
- S. A. Coon, M. I. Avetian, M. K. G. Kruse, U. van Kolck, P. Maris, and J. P. Vary, Phys. Rev. C 86, 054002 (2012).
- P. Maris and J. P. Vary, Int. J. Mod. Phys. E 22, 1330016 (2013).
- M. K. G. Kruse, E. D. Jurgenson, P. Navratil, B. R. Barrett, and W. E. Ormand, Phys. Rev. C 87, 044301 (2013).
- S. N. More, A. Ekstrom, R. J. Furnstahl, G. Hagen, and T. Papenbrock, Phys. Rev. C 87, 044326 (2013).
- R. J. Furnstahl, S. N. More, and T. Papenbrock, Phys. Rev. C 89, 044301 (2014).
- I. J. Shin, Y. Kim, P. Maris, J. P. Vary, C Forssen, J. Rotureau, and N. Michel, J. Phys. G: Nucl. Part. Phys. 44, 075103 (2017).
- D. M. Rodkin and Yu. M. Tchuvil’sky, Phys. Rev. C 106, 034305 (2022).
- А. М. Широков, А. И. Мазур, В. А. Куликов, ЯФ 84, 111 (2021) [Phys. At. Nucl. 84, 131 (2021)].
- G. A. Negoita, J. P. Vary, G. R. Luecke, P. Maris, A. M. Shirokov, I. J. Shin, Y. Kim, E. G. Ng, C. Yang, M. Lockner, and G. M. Prabhu, Phys. Rev. C 99, 054308 (2019).
- W. G. Jiang, G. Hagen, and T. Papenbrock, Phys. Rev. C 100, 054326 (2019).
- I. Vidana, Nucl. Phys. A 1032, 122625 (2023).
- T. Wolfgruber, M. Knoll, and R. Roth, arXiv: 2310.05256 [nucl-th].
- M. Knoll, T. Wolfgruber, M. L. Agel, C. Wenz, and R. Roth, Phys. Lett. B 839, 137781 (2023).
- А. И. Мазур, Р. Э. Шарыпов, А. М. Широков. Вестн. Моск. ун-та. Сер. 3. Физика. Астрономия 79, 2430202 (2024).
- A. M. Shirokov, I. J. Shin, Y. Kim, M. Sosonkina, P. Maris, and J. P. Vary, Phys. Lett. B 761, 87 (2016).
- Д. М. Родкин, Ю. М. Чувильский, Письма в ЖЭТФ118, 147 (2023) [JETP Lett. 118, 153 (2023)].
- D. P. Kingma and J. Ba, arXiv: 1412.6980 [cs.LG], https://doi.org/10.48550/arXiv.1412.6980
- D. R. Tilley, C. M. Cheves, J. L. Godwin, G. M. Hale, H. M. Hofmann, J. H. Kelley, C. G. Sheu, and H. R. Weller, Nucl. Phys. A 708, 3 (2002).
- R. R. Wilcox, Basic Statistics. Understanding Conventional Methods and Modern Insights (Oxford Univ. Press, USA, 2009).
- I. Tanihata, H. Savajols, and R. Kanungo, Prog. Part. Nucl. Phys. 68, 215 (2013).
补充文件
