libamtrack (version 0.6.3)

AT.CPPSC.alpha.and.beta: AT.CPPSC.alpha.and.beta

Description

Returns alpha and beta for an ion survival curve predicted by the CPPSC model. The arguments are directly passed on to the AT.run.CPPSC.method routine, some are provided default values here to simplify the use. !! THIS ROUTINE IS LIMITED TO THE LIN-QUAD MODEL BUT SHOULD BE GENERALIZED FOR ANY GAMMA REPONSE, BOTH IN TERMS OF INPUT X RAY PARAMETERS *AND* OF RETURNED (FITTED) ION PARAMETERS!! Cave: Even if input X ray response is LQ with cut dose, the resulting LQ will be purely linear-quadratic without high-dose linear characteristic.

Usage

AT.CPPSC.alpha.and.beta(E.MeV.u, particle.no, fluence.cm2.or.dose.Gy, material.no, RDD.model, RDD.parameters, ER.model, gamma.model, gamma.parameters, N2 = 20, fluence.factor = 1.0, write.output = FALSE, shrink.tails = TRUE, shrink.tails.under = 1e-30, adjust.N2 = TRUE)

Arguments

E.MeV.u

Energy

particle.no

Particle index

fluence.cm2.or.dose.Gy

Mean dose - will be varied for survival / response in a range 0.1x-10x.

material.no

Material index

RDD.model

RDD index

RDD.parameters

RDD parameters

ER.model

ER index

gamma.model

gamma model index, must be LQ = 5

gamma.parameters

gamma parameters, here alpha, beta, Dcut

N2

defaulted

fluence.factor

defaulted

write.output

defaulted

shrink.tails

defaulted

shrink.tails.under

defaulted

adjust.N2

defaulted

Value

List with follwing items

alpha

alpha for ion response curve

beta

beta for ion response curve

df

data frame with complete ion response curve as computed to find alpha and beta including residuals fo that fit.

Examples

# None yet