An empirical model splits projectile ions into four atomic-number groups, fits a logistic curve to measured mean charge states per group, and uses a Gaussian with an earlier width formula to produce charge state distributions.
Significance of high charge state of projectile ions inside the target and its role on electron capture leading to target ionization phenomenon
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
The K x-ray spectra of different targets (Cu, Zn, and Ge) induced by 3 to 5 MeV/u Si projectile ions have been measured to determine the K-shell ionization cross-section. A significant difference is observed between the measurements and theoretical estimates, with the latter being about 50% below the experimental results. This underestimation} is attributed to the charge-exchange from target K-shell to projectile K- and L-shells. Such observation can only be possible if the projectile ions attain up to H- and He-like charge states. Corresponding projectile charge state fractions have been evaluated from the Lorentzian charge state distribution, where mean charge state is taken from the Fermi gas model [Phys. Rev. Lett. 30, 358 (1973)] and width from the Novikov and Teplova approach [Phys. Lett. A378, 1286-1289 (2014)]. The sum of the direct ionization cross-section and K-K + K-L capture cross-sections gives a good agreement with the measured cross-sections. Furthermore, we have validated this methodology with available data for Si-ion on Ti target. Such results may be useful in many solid target based applications.
citation-role summary
citation-polarity summary
fields
physics.atom-ph 1years
2025 1verdicts
REJECT 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Precise charge state distribution of projectile ions through solid targets
An empirical model splits projectile ions into four atomic-number groups, fits a logistic curve to measured mean charge states per group, and uses a Gaussian with an earlier width formula to produce charge state distributions.