Intricate partial waves in nuclear scattering

Author:

von Geramb Heinrich Viktor

Abstract

AbstractThis article is meant as an encomium of the life-span endeavor of Jacques Raynal to relate nuclear scattering density matrices with numerical methods. The mathematical investigations he made involved intricate hypergeometric coupling algebras and transformations. He was among the first to appreciate the general importance of these studies. His efforts over 60 years are most praiseworthy and, for them, Jacques has gained much respect.

Funder

Universität Hamburg

Publisher

Springer Science and Business Media LLC

Subject

Nuclear and High Energy Physics

Reference77 articles.

1. G.A. Negoita et al., Deep learning: a tool for computational nuclear physics, computational tools 2018: 9. Int. Conf. on Comp. Logic, Algebras, Programming, Tools and Benchmarks, 2018, Barcelona, IARIA (2019)

2. A.J.M. Plompen et al., The joint evaluated fission and fusion nuclear data library, FEFF-3.3. EPJ A56, 56–181 (2019)

3. S. Subair, C.H. Thorn, Implementations and Applications of Machine Learning, Studies in Computational Intelligence, vol. 782 (Springer, Berlin, 2020)

4. L. Kowarski, The impact of computers on nuclear sciences, in Computing as a language of physics, 27-37, ICTP Trieste 1971, IAEA Vienna SMR-9/8 (1972)

5. S. Fernbach, A. Taub (eds.), Computers and their Role in the Physical Sciences (Gordon and Breach, London, 1970)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Jacques Raynal;The European Physical Journal A;2021-10

2. Following J. Raynal’s DWBA and ECIS codes: coupled channels with microscopic non-local potential;The European Physical Journal A;2021-09

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