Finite-range DWBA analysis of 7Li(p, α)4He reaction at astrophysically relevant energies

1995 ◽  
Vol 582 (1-2) ◽  
pp. 270-282 ◽  
Author(s):  
Yoshiki Yamashita
Keyword(s):  
Finite Range ◽  
Dwba Analysis

Exact finite-range DWBA analysis of multi-nucleon transfer reactions

1971 ◽  
Vol 36 (1) ◽  
pp. 18-20 ◽  
Author(s):  
J.-L. Perrenoud ◽  
R.M. Devries
Keyword(s):  
Transfer Reactions ◽  
Finite Range ◽  
Nucleon Transfer ◽  
Dwba Analysis

scholarly journals Finite-Range DWBA Analysis of (p,  ) Reaction below the Coulomb Barrier

1993 ◽  
Vol 90 (6) ◽  
pp. 1303-1310 ◽  
Author(s):  
Y. Yamashita ◽  
Y. Kudo
Keyword(s):  
Coulomb Barrier ◽  
Finite Range ◽  
Dwba Analysis

Finite-range DWBA analysis of (p, α) reactions on 9Be and 11B

1972 ◽  
Vol 178 (2) ◽  
pp. 424-436 ◽  
Author(s):  
R.M. Devries ◽  
Jean-Luc Perrenoud ◽  
I. Slaus ◽  
J.W. Sunier
Keyword(s):  
Finite Range ◽  
Dwba Analysis

scholarly journals Finite-Range DWBA Analysis of Anomalous Analyzing Powers in (p,  ) Reactions

1980 ◽  
Vol 63 (5) ◽  
pp. 1608-1619 ◽  
Author(s):  
K. Kobayashi ◽  
T. Une
Keyword(s):  
Finite Range ◽  
Analyzing Powers ◽  
Dwba Analysis

scholarly journals Exact-finite-range DWBA analysis of 12C(6 Li, α)14N reaction at E(6Li) = 20 MeV

1978 ◽  
Vol 39 (11) ◽  
pp. 158-160 ◽  
Author(s):  
J. Meyer ◽  
R.S. Nahabetian ◽  
E. Elbaz
Keyword(s):  
Finite Range ◽  
Dwba Analysis

Finite-size instabilities in finite-range forces

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
C. Gonzalez-Boquera ◽  
M. Centelles ◽  
X. Viñas ◽  
L. M. Robledo
Keyword(s):  
Finite Size ◽  
Finite Range

scholarly journals Markov properties of cluster processes

1996 ◽  
Vol 28 (2) ◽  
pp. 346-355 ◽  
Author(s):  
A. J. Baddeley ◽  
M. N. M. Van Lieshout ◽  
J. Møller
Keyword(s):  
Poisson Process ◽  
Point Process ◽  
Markov Property ◽  
Nearest Neighbour ◽  
Finite Range ◽  
Cluster Process ◽  
Cluster Point Process ◽  
Poisson Cluster ◽  
Markov Properties ◽  
Uniformly Bounded

We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the clusters have uniformly bounded diameter. It is typically not a finite-range Markov point process in the sense of Ripley and Kelly [12]. Furthermore, when the parent Poisson process is replaced by a Markov or nearest-neighbour Markov point process, the resulting cluster process is also nearest-neighbour Markov, provided all clusters are non-empty. In particular, the nearest-neighbour Markov property is preserved when points of the process are independently randomly translated, but not when they are randomly thinned.

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