FULLY MICROSCOPIC MODEL OF 200 MEV PROTON-C-12 ELASTIC AND INELASTIC-SCATTERING

Citation
S. Karataglidis et al., FULLY MICROSCOPIC MODEL OF 200 MEV PROTON-C-12 ELASTIC AND INELASTIC-SCATTERING, Physical review. C. Nuclear physics, 52(2), 1995, pp. 861-877
Citations number
67
Categorie Soggetti
Physics, Nuclear
ISSN journal
05562813
Volume
52
Issue
2
Year of publication
1995
Pages
861 - 877
Database
ISI
SICI code
0556-2813(1995)52:2<861:FMMO2M>2.0.ZU;2-#
Abstract
An effective two nucleon (NN) interaction in the nuclear medium is def ined from an accurate mapping of the NN g matrices obtained by solving the Brueckner-Bethe-Goldstone equations for infinite nuclear matter. That effective interaction is used in a fully microscopic calculation of the nonlocal effective proton-C-12 interaction from which we obtain predictions of the differential cross section and analyzing power for 200 MeV elastic scattering. The relative motion wave functions so fou nd are used as the distorted waves in a distorted wave approximation ( DWA) study of select inelastic scattering events. The effective NN int eraction is used as the transition operator in those calculations. The relevant nuclear spectroscopy for the elastic and DWA (p,p') calculat ions is found from a full (0 + 2)HBAR omega shell model evaluation of the positive parity states while a restricted (1 + 3)HBAR omega shell model space has been used to give the negative parity states. Results are compared with those of the 0p-shell model of Cohen and Kurath or w ith those based upon axially symmetric, projected Hartree-Fock calcula tions. The diverse structure model wave functions are assessed by usin g them in calculations to compare with measured longitudinal, transver se electric, and transverse magnetic form factors from electron scatte ring to many of the excited states of C-12. Using those models of the structure of C-12 in our completely microscopic model of the elastic a nd inelastic scattering of 200 MeV protons, good fits have been found to the cross section and analyzing power data.