Current status of the "Hybrid Kurotama model" for total reaction cross sections
Journal article, 2014

To be able to calculate the nucleon + nucleus and nucleus + nucleus total reaction cross sections with precision is of great importance for studies of fundamental nuclear properties, e.g., the nuclear structure. This is also very important for particle and heavy ion transport calculations since in all particle and heavy ion transport codes, the probability function according to which a projectile particle will collide within a certain distance in a matter depends on the total reaction cross sections. This will also scale the calculated partial fragmentation cross sections. It is therefore crucial that accurate total reaction cross section models are used in the transport calculations. In this paper, a new general purpose total reaction cross section model/subroutine called "Hybrid Kurotama" is presented. The model has been tested against available p + He, p + nucleus, and nucleus + nucleus total reaction cross sections and an overall better agreement has been found than for earlier published models. This model is therefore very suitable to be used in any deterministic or Monte Carlo particle and heavy ion transport code.

accurate universal parameterization

fragment mass

energies

charged-particles

alpha-particles

Cross sections

Reaction cross sections

light-nuclei

intermediate

carbon

Transport calculations

elastic-scattering

relativistic nuclei

Transport code

Monte Carlo

total proton

Author

Lembit Sihver

Chalmers, Applied Physics, Nuclear Engineering

A. Kohama

RIKEN

K. Iida

Kochi University

K. Oyamatsu

Aichi Shukutoku University

S. Hashimoto

Japan Atomic Energy Agency

H. Iwase

High Energy Accelerator Research Organization

K. Niita

Research Organization for Information Science and Technology

Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

0168-583X (ISSN)

Vol. 334 34-39

Subject Categories

Atom and Molecular Physics and Optics

DOI

10.1016/j.nimb.2014.04.021

More information

Created

10/6/2017