2016
DOI: 10.1016/j.nima.2016.06.106
|View full text |Cite
|
Sign up to set email alerts
|

Analytical model for release calculations in solid thin-foils ISOL targets

Abstract: A detailed analytical model has been developed to simulate isotope-releasecurves from thin-foils ISOL targets. It involves the separate modeling of diffusion and effusion inside the target.The former has been modeled using both first and second Fick'slaw.The latter,effusion from the surface of the target material to the end of the ionizer, was simulated with the Monte Carlo code Mol Flowþ. The calculated delay-time distribution for this process was then fitted using a double-exponential function. There lease c… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2018
2018
2020
2020

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 12 publications
0
3
0
Order By: Relevance
“…For example, the finite elements codes ANSYS [6, -] and COMSOL [7] were used to calculate the temperature distributions in ISOL target assemblies due to beam heating, applied heating, and external cooling [8,15]. The diffusion delays were calculated by analytically solving Fick's equations for simple planar, cylindrical, and spherical geometries [9,10] or with a finite-difference code [9,11], while the effusion process was simulated using a Monte Carlo code such as GEANT4 [12,13], MolFlow+ [14],…”
Section: Computational Codesmentioning
confidence: 99%
See 2 more Smart Citations
“…For example, the finite elements codes ANSYS [6, -] and COMSOL [7] were used to calculate the temperature distributions in ISOL target assemblies due to beam heating, applied heating, and external cooling [8,15]. The diffusion delays were calculated by analytically solving Fick's equations for simple planar, cylindrical, and spherical geometries [9,10] or with a finite-difference code [9,11], while the effusion process was simulated using a Monte Carlo code such as GEANT4 [12,13], MolFlow+ [14],…”
Section: Computational Codesmentioning
confidence: 99%
“…( 13). The effusion release rate fe (t) is obtained by taking the histogram of the particle release times from effusion simulations and fitting the data to the following function [10]:…”
Section: Combining Diffusion and Effusion Release Timesmentioning
confidence: 99%
See 1 more Smart Citation