numOSL (version 2.4)

scaleSGCN: Natural-dose signal re-scaling

Description

Re-scaling sensitivity-corrected natural-dose signals according to the "global standardised growth curve" (gSGC) method suggested by Li et al. (2015, 2016).

Usage

scaleSGCN(obj_analyseBIN, SGCpars, model, origin, 
          SAR.Cycle, Tn.above.3BG = TRUE, 
          TnBG.ratio.low = NULL, rseTn.up = NULL, 
          FR.low = NULL, use.se = TRUE, outfile = NULL)

Arguments

obj_analyseBIN

list(required): an object of S3 class "analyseBIN" produced by function analyseBINdata or as_analyseBIN

SGCpars

vector(required): optimized parameters of the SGC obtained using function fitGrowth or lsNORM

model

character(required): fitting model used for obtaining SGCpars

origin

logical(required): logical value indicating if established SGC passes the origin

SAR.Cycle

character(required): a two-element character vector containing SAR cycles used for natural-dose signal re-scaling. Example: SAR.Cycle=c("N","R3")

Tn.above.3BG

logical(with default): logical value indicating if aliquot (grain) with Tn below 3 sigma BG should be rejected

TnBG.ratio.low

numeric(optional): lower limit on ratio of initial Tn signal to BG

rseTn.up

numeric(optional): upper limit on relative standard error of Tn in percent

FR.low

numeric(optional): lower limit on fast ratio of Tn

use.se

logical(with default): logical value indicating if standard errors of values should be used during application of rejection criteria

outfile

character(optional): if specified, scaled SGC data related quantities will be written to a CSV file named "outfile" and saved to the current work directory

Value

Return an invisible list that contains the following elements:

scale.Ltx

scaled natural-dose signals and associated standard errors

agID

aliquot (grain) ID of scaled natural-dose signals

Details

Sensitivity-corrected natural-dose signals are re-scaled according to Eqn.(10) of Li et al. (2015).

References

Li B, Roberts RG, Jacobs Z, Li SH, 2015. Potential of establishing a "global standardised growth curve" (gSGC) for optical dating of quartz from sediments. Quaternary Geochronology, 27: 94-104.

Li B, Jacobs Z, Roberts RG, 2016. Investigation of the applicability of standardised growth curves for OSL dating of quartz from Haua Fteah cave, Libya. Quaternary Geochronology, 35: 1-15.

See Also

lsNORM; calSGCED

Examples

# NOT RUN {
 # Not run.
 data(SARdata)
 gSGCpars <- c(137.440874251, 0.007997863, 2.462035263, -0.321536177)
 scaleSGCN(as_analyseBIN(SARdata), SGCpars=gSGCpars, model="gok", 
           origin=FALSE, SAR.Cycle=c("N","R3"))
# }