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include <imhdr.h>
include <pkg/gtools.h>
include <pkg/xtanswer.h>
# T_RESPONSE -- Determine the response function for 2D spectra.
#
# A calibration image is divided by a normalization spectrum to form
# a response image. The normalization spectrum is derived by averaging
# the normalization image across dispersion. The normalization spectrum
# is then smoothed by curve fitting. The smoothed normalization
# spectrum is divided into the calibration image to form the response
# function image. The curve fitting may be performed interactively
# using the icfit package. A response function is determined for each
# input image. Image sections in the calibration image may be used to determine
# the response for only part of an image such as with multiple slits.
# CL callable task.
#
# The images are given by image templates. The number of images must
# in each list must match. Image sections are allowed in the calibration
# image.
procedure t_response ()
int list1 # List of calibration images
int list2 # List of normalization images
int list3 # List of response images
real threshold # Response threshold
int naverage # Sample averaging size
int order # Order of curve fitting function
real low_reject, high_reject # Rejection thresholds
int niterate # Number of rejection iterations
real grow # Rejection growing radius
int interactive # Interactive?
pointer cal, norm, resp, ic, gt
pointer sp, image1, image2, image3, history
int clgeti(), imtopen(), imtgetim(), imtlen(), gt_init(), ic_geti()
bool clgetb()
real clgetr(), ic_getr()
pointer immap()
errchk immap, ls_immap
begin
call smark (sp)
call salloc (image1, SZ_LINE, TY_CHAR)
call salloc (image2, SZ_LINE, TY_CHAR)
call salloc (image3, SZ_LINE, TY_CHAR)
call salloc (history, SZ_LINE, TY_CHAR)
# Get the calibration, normalization, and response image lists and
# check that the they match.
call clgstr ("calibration", Memc[image1], SZ_LINE)
call clgstr ("normalization", Memc[image2], SZ_LINE)
call clgstr ("response", Memc[image3], SZ_LINE)
list1 = imtopen (Memc[image1])
list2 = imtopen (Memc[image2])
list3 = imtopen (Memc[image3])
if ((imtlen(list1)!=imtlen(list3)) || (imtlen(list2)!=imtlen(list3))) {
call imtclose (list1)
call imtclose (list2)
call imtclose (list3)
call error (0, "Image lists do not match")
}
# Get remaining parameters and initialize the curve fitting package.
threshold = clgetr ("threshold")
call clgstr ("sample", Memc[image1], SZ_LINE)
naverage = clgeti ("naverage")
call clgstr ("function", Memc[image2], SZ_LINE)
order = clgeti ("order")
low_reject = clgetr ("low_reject")
high_reject = clgetr ("high_reject")
niterate = clgeti ("niterate")
grow = clgetr ("grow")
if (clgetb ("interactive"))
interactive = YES
else
interactive = ALWAYSNO
# Set the ICFIT pointer structure.
call ic_open (ic)
call ic_pstr (ic, "sample", Memc[image1])
call ic_puti (ic, "naverage", naverage)
call ic_pstr (ic, "function", Memc[image2])
call ic_puti (ic, "order", order)
call ic_putr (ic, "low", low_reject)
call ic_putr (ic, "high", high_reject)
call ic_puti (ic, "niterate", niterate)
call ic_putr (ic, "grow", grow)
call ic_pstr (ic, "ylabel", "")
gt = gt_init()
call gt_sets (gt, GTTYPE, "line")
# Create the response image for each calibration image.
while ((imtgetim (list1, Memc[image1], SZ_LINE) != EOF) &&
(imtgetim (list2, Memc[image2], SZ_LINE) != EOF) &&
(imtgetim (list3, Memc[image3], SZ_LINE) != EOF)) {
# Map the images. If the response image does not exist it
# is created and initialized to unit response everywhere.
# If the calibration image is an image section then the response
# image is opened as a section also.
call ls_immap (Memc[image1], Memc[image3], cal, resp)
norm = immap (Memc[image2], READ_ONLY, 0)
# Determine whether the normalization spectrum is to be fit
# interactively and if so set the graphics title.
call sprintf (Memc[image2], SZ_LINE,
"Fit the normalization spectrum for %s interactively")
call pargstr (Memc[image1])
call xt_answer (Memc[image2], interactive)
if ((interactive == YES) || (interactive == ALWAYSYES)) {
call sprintf (Memc[image2], SZ_LINE,
"Fit the normalization spectrum for %s\n%s")
call pargstr (Memc[image1])
call pargstr (IM_TITLE(cal))
call gt_sets (gt, GTTITLE, Memc[image2])
}
# Make the response.
call re_make (cal, norm, resp, ic, gt, threshold, interactive)
# Document the fit.
call ic_gstr (ic, "sample", Memc[history], SZ_LINE)
call clpstr ("sample", Memc[history])
naverage = ic_geti (ic, "naverage")
call clputi ("naverage", naverage)
call ic_gstr (ic, "function", Memc[history], SZ_LINE)
call clpstr ("function", Memc[history])
order = ic_geti (ic, "order")
call clputi ("order", order)
low_reject = ic_getr (ic, "low")
call clputr ("low_reject", low_reject)
high_reject = ic_getr (ic, "high")
call clputr ("high_reject", high_reject)
niterate = ic_geti (ic, "niterate")
call clputi ("niterate", niterate)
grow = ic_getr (ic, "grow")
call clputr ("grow", grow)
call imaddr (resp, "ccdmean", 1.)
call sprintf (Memc[history], SZ_LINE,
"Response determined from %s.")
call pargstr (Memc[image2])
call xt_phistory (resp, Memc[history])
call imunmap (cal)
call imunmap (norm)
call imunmap (resp)
}
# Finish up.
call ic_closer (ic)
call imtclose (list1)
call imtclose (list2)
call imtclose (list3)
call gt_free (gt)
call sfree (sp)
end
# RE_MAKE -- Given the calibration image determine the response.
procedure re_make (cal, norm, resp, ic, gt, threshold, interactive)
pointer cal # Calibration IMIO pointer
pointer norm # Normalization IMIO pointer
pointer resp # Response IMIO pointer
pointer ic # ICFIT pointer
pointer gt # GTOOLS pointer
real threshold # Response threshold
int interactive # Interactive?
char graphics[SZ_FNAME] # Graphics output device
int laxis, paxis, npts
pointer cv, gp, sp, wavelengths, spectrum, wts
pointer gopen()
errchk get_daxis
begin
# Determine the dispersion axis and set the axis labels.
call get_daxis (cal, laxis, paxis)
switch (laxis) {
case 1:
call ic_pstr (ic, "xlabel", "Column")
case 2:
call ic_pstr (ic, "xlabel", "Line")
}
# Get the normalization spectrum.
call ls_aimavg (norm, laxis, 1, IM_LEN(norm, 1), 1, IM_LEN(norm, 2),
wavelengths, spectrum, npts)
# Allocate memory for the fit.
call smark (sp)
call salloc (wts, npts, TY_REAL)
call amovkr (1., Memr[wts], npts)
# Smooth the normalization spectrum.
call ic_putr (ic, "xmin", Memr[wavelengths])
call ic_putr (ic, "xmax", Memr[wavelengths+npts-1])
if ((interactive == YES) || (interactive == ALWAYSYES)) {
call clgstr ("graphics", graphics, SZ_FNAME)
gp = gopen (graphics, NEW_FILE, STDGRAPH)
call icg_fit (ic, gp, "cursor", gt, cv, Memr[wavelengths],
Memr[spectrum], Memr[wts], npts)
call gclose (gp)
} else {
call ic_fit (ic, cv, Memr[wavelengths], Memr[spectrum], Memr[wts],
npts, YES, YES, YES, YES)
}
call cvvector (cv, Memr[wavelengths], Memr[spectrum], npts)
call cvfree (cv)
# Compute the response image by normalizing the calibration
# image by the normalization spectrum.
call re_normalize (cal, resp, laxis, threshold, Memr[spectrum], npts)
# Free allocated memory.
call sfree (sp)
call mfree (wavelengths, TY_REAL)
call mfree (spectrum, TY_REAL)
end
# RE_NORMALIZE -- Divide each calibration image pixel by the normalization
# spectrum at that pixel.
procedure re_normalize (cal, resp, axis, threshold, spectrum, npts)
pointer cal # Calibration IMIO pointer
pointer resp # Response IMIO pointer
int axis # Dispersion axis
real threshold # Normalization treshold
real spectrum[npts] # Pointer to normalization spectrum
int npts # Number of points in spectrum
int i, j, ncols, nlines
real norm
pointer datain, dataout
pointer imgl2r(), impl2r()
begin
ncols = IM_LEN (cal, 1)
nlines = IM_LEN (cal, 2)
# Compute the response image.
if (IS_INDEF (threshold)) {
do i = 1, nlines {
datain = imgl2r (cal, i)
dataout = impl2r (resp, i)
switch (axis) {
case 1:
call adivr (Memr[datain], spectrum, Memr[dataout], ncols)
case 2:
call adivkr (Memr[datain], spectrum[i], Memr[dataout],
ncols)
}
}
} else {
do i = 1, nlines {
datain = imgl2r (cal, i)
dataout = impl2r (resp, i)
switch (axis) {
case 1:
do j = 1, ncols {
norm = spectrum[j]
if (norm < threshold || Memr[datain] < threshold)
Memr[dataout] = 1.
else
Memr[dataout] = Memr[datain] / norm
datain = datain + 1
dataout = dataout + 1
}
case 2:
norm = spectrum[i]
if (norm < threshold)
call amovkr (1., Memr[dataout], ncols)
else {
do j = 1, ncols {
if (Memr[datain] < threshold)
Memr[dataout] = 1.
else
Memr[dataout] = Memr[datain] / norm
datain = datain + 1
dataout = dataout + 1
}
}
}
}
}
end
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