Description Usage Arguments Details Value References See Also Examples
Simulating first-order, second-order, or general-order glow peaks.
1 2 3 |
temps |
vector(required): temperature values (K) where the values of the thermoluminescence intensity will be computed. It needs to be sorted increasingly. A vector of temperature values may be generated using the internal function seq |
n0 |
numeric(required): initial concentration of trapped electrons (1/cm^3) |
Nn |
numeric(required): total concentration of the traps in the crystal (1/cm^3) |
bv |
numeric(required): order number for the general order glow peak |
ff |
numeric(required): the frequency factor (1/s) |
ae |
numeric(required): the activation energy (eV) |
hr |
numeric(with default): the linear heating rate (K/s) |
typ |
character(with default): the type of a glow peak, |
outfile |
character(optional): if specified, simulated intensities of glow peaks will
be written to a file named |
plot |
logical(with default): draw a plot according to the simulated glow peak or not |
Function simPeak simulates glow peaks of various orders. The first-, second-, and general-order glow peak can be simulated using the following three ordinary equations, respectively (Pagonis et al., 2006):
\frac{dn}{dT}=-n*S*e^{-E/(k*T)}/hr
\frac{dn}{dT}=-n^{2}*S*e^{-E/(k*T)}/(Nn*hr)
\frac{dn}{dT}=-n^{bv}*S*e^{-E/(k*T)}/(Nn*hr)
where n is the concentration of trapped electrons, \frac{dn}{dT} the rate of change of the concentration of trapped electrons, S the frequency factor, E the activation energy, T the absolute temperature, k the Boltzmann constant, Nn the total concentration of the traps in the crystal, bv the b value (kinetic order), and hr the linear heating rate.
The ordinary equation is solved by the Fortran 77 subroutine lsoda (original version written by Linda R. Petzold and Alan C. Hindmarsh available at Netlib: http://www.netlib.org/odepack/, modified version by R. Woodrow Setzer from the R package deSolve (Soetaert et al., 2010) available at CRAN: http://CRAN.R-project.org/package=deSolve).
Return an invisible list containing the following elements:
temps |
a vector of temperature values |
tl |
values of the thermoluminescence intensity |
n |
variation of concentration of trapped electrons with temperature |
sp |
parameters used for describing the shape of a glow peak (Pagonis et al., 2006): |
Pagonis V, Kitis G, Furetta C, 2006. Numerical and practical exercises in thermoluminescence. Springer Science & Business Media.
Soetaert K, Petzoldt T, Setzer RW, 2010. Solving Differential Equations in R: Package deSolve. Journal of Statistical Software, 33(9): 1-25.
tgcd; simqOTOR
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ### Effect of initial electron trap concentration (n0)
### on second-order glow peaks.
temps <- seq(400, 600, by=0.5)
peak1 <- simPeak(temps, n0=0.2e10, Nn=1e10,
ff=1e19, ae=2.0, hr=1, typ="s")
peak2 <- simPeak(temps, n0=0.4e10, Nn=1e10,
ff=1e19, ae=2.0, hr=1, typ="s")
peak3 <- simPeak(temps, n0=0.6e10, Nn=1e10,
ff=1e19, ae=2.0, hr=1, typ="s")
peak4 <- simPeak(temps, n0=0.8e10, Nn=1e10,
ff=1e19, ae=2.0, hr=1, typ="s")
peak5 <- simPeak(temps, n0=1.0e10, Nn=1e10,
ff=1e19, ae=2.0, hr=1, typ="s")
peaks <- cbind(peak1$tl, peak2$tl, peak3$tl, peak4$tl, peak5$tl)
matplot(temps, peaks, type="l", lwd=2, lty="solid",
xlab="Temperature (K)", ylab="TL intensity (counts)")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.