Convert raw detector counts into counts-per-second

Replace data from bad pixels with interpolated values, replace data from saturated and nearby pixels withs NAs, apply linearization function if data is not already linearized, optionally use a range of pixels as dark reference, convert the raw counts for each integration time used into counts-per-second, if data from bracketed intergartion times is available, splice the different spectra.

Usage

raw2corr_cps(x, ref.pixs.range, ...)

# Default S3 method
raw2corr_cps(x, ref.pixs.range = NULL, ...)

# S3 method for class 'raw_spct'
raw2corr_cps(
  x,
  ref.pixs.range = c(1, 100),
  despike = FALSE,
  hdr.tolerance = getOption("ooacquire.hdr.tolerance", default = 0.05),
  ...
)

# S3 method for class 'raw_mspct'
raw2corr_cps(x, ref.pixs.range = c(1, 100), despike = FALSE, ...)

Arguments

x

raw_spct object.

ref.pixs.range

integer vector of length 2.

...

passed to photobiology::despike.

despike

logical flag, if TRUE despiking will be attempted.

hdr.tolerance

numeric Passed as tolerance argument to merge_cps().

Value

a cps_spct object with one spectrum preserving the metadata present in x.

Methods (by class)

• raw2corr_cps(default): Default method

• raw2corr_cps(raw_spct): raw_spct method

• raw2corr_cps(raw_mspct): raw_spct method

See also

Other functions for conversion of raw-counts data: raw2cps(), s_fraction_corrected(), s_irrad_corrected()