D
Daniel Jean Baye
Researcher at Université libre de Bruxelles
Publications - 297
Citations - 8208
Daniel Jean Baye is an academic researcher from Université libre de Bruxelles. The author has contributed to research in topics: Scattering & Elastic scattering. The author has an hindex of 38, co-authored 296 publications receiving 7670 citations. Previous affiliations of Daniel Jean Baye include Hungarian Academy of Sciences.
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A compilation of charged-particle induced thermonuclear reaction rates
Carmen Angulo,Marcel Arnould,Marc Rayet,Pierre Descouvemont,Daniel Jean Baye,Ch. Leclercq-Willain,Alain Coc,S. Barhoumi,P. Aguer,C. Rolfs,R. Kunz,J. W. Hammer,A. Mayer,T. Paradellis,S. Kossionides,C. Chronidou,K. Spyrou,Scilla Degl'Innocenti,Giovanni Fiorentini,Barbara Ricci,Sandra Zavatarelli,Constança Providência,Helmut Wolters,J. Soares,C. Grama,Javad Rahighi,A. C. Shotter,M. Lamehi Rachti +27 more
TL;DR: In this paper, the corresponding Maxwellian-averaged thermonuclear reaction rates of relevance in astrophysical plasmas at temperatures in the range from 10(6) K to 10(10) K were calculated.
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Generalised meshes for quantum mechanical problems
TL;DR: A new method to discretise Schrodinger equations on a mesh based on an accurate approximation of a variational calculation and applications to many-body problems indicate that the accuracy of the results is improved by an order of magnitude with respect to conventional mesh calculations.
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The R-matrix theory
TL;DR: The R-matrix method has been used in many applications in physics, such as elastic scattering, inelastic and radiative capture reactions, and in nuclear physics as discussed by the authors.
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Supersymmetry between deep and shallow nucleus-nucleus potentials.
TL;DR: Supersymmetric quantum mechanis is applied to the determination of a shallow potential which is phase equivalent to a deep potential, and whose bound spectrum is identical except for the ground state which is suppressed.
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The Lagrange-mesh method
TL;DR: The Lagrange-mesh method as mentioned in this paper is an approximate variational method taking the form of equations on a grid thanks to the use of a Gauss-quadrature approximation.