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

In libamtrack: Computational Routines for Proton and Ion Radiotherapy

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

libamtrack documentation built on May 2, 2019, 4:55 p.m.