libamtrack (version 0.6.3)

AT.D.RDD.Gy: AT.D.RDD.Gy

Description

Returns local dose as a function of distance r_m for a given radial dose distribution model

Usage

AT.D.RDD.Gy(r.m, E.MeV.u, particle.no, material.no, rdd.model, 
	rdd.parameter, er.model, stopping.power.source.no)

Arguments

r.m

distance [m] (array of size n).

E.MeV.u

particle (ion) energy per nucleon [MeV/u] (single number, no mixed fields) (see also E.MeV.u).

particle.no

particle code number (single number, no mixed fields) (see also particle.no).

material.no

material code number (single number, no mixed fields) (see also material.no).

rdd.model

radial dose distribution model index (see also rdd.model).

rdd.parameter

radial dose distribution model parameters (array of size 4).

er.model

electron range / track with model index (see also er.model).

stopping.power.source.no

TODO (see also stopping.power.source.no).

Value

• D.RDD.Gy
  dose [Gy] (array of size n)
• status
  status

See Also

View the C source code here: http://sourceforge.net/apps/trac/libamtrack/browser/tags/0.6.3/src/AT_RDD .c#L485

Examples

# Compute dose in several distances of an 100 MeV/u neon ion in water
# according to 'Site' parametrization
AT.D.RDD.Gy(    r.m              = 10^(-9:-4),
                E.MeV.u          = 100,
                particle.no      = 10020,
                material.no      = 1,
                rdd.model        = 4,
                rdd.parameter    = c(5e-8, 1e-10),
                er.model         = 2,
                stopping.power.source.no = 2)

# Compare the Geiss parametrization of RDD for protons and Carbon ions at
# different energies:
df    <-    expand.grid( E.MeV.u        = 10^seq(0, 3, length.out = 4),      
 # from 1 to 1000 MeV/u in 4 steps
                         particle.no    = c(1001,6012),                      
 # protons and carbons
                         r.m            = 10^seq(-9, -2, length.out = 100),  
 # from 1 nm to 1 cm in 100 steps
                         material.no    = 2,                                 
 # Aluminium Oxide
                         rdd.model      = 3,                                 
 # Geiss parametrization
                         rdd.parameter  = 5e-8,                              
 # Fixed core size of 50 nm
                         er.model       = 4,                                 
 # Geiss track width parametrization
                         D.Gy           = 0)                                 
 # For later use
ii                   <-  df$particle.no == 1001                              
 # Add particle names
df$particle.name     <-  "Carbon-12"
df$particle.name[ii] <-  "Protons"
for (i in 1:nrow(df)){                                                       
 # Loop through particles/energies
    df$D.Gy[i]    <-    AT.D.RDD.Gy( r.m              = df$r.m[i],
                                     E.MeV.u          = df$E.MeV.u[i],
                                     particle.no      = df$particle.no[i],
                                     material.no      = df$material.no[i],
                                     rdd.model        = df$rdd.model[i],
                                     rdd.parameter    = df$rdd.parameter[i],
                                     er.model         = df$er.model[i],
                                     stopping.power.source.no = 2)$D.RDD.Gy
}