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include <math/iminterp.h>
# DISPCOR -- Dispersion correct input spectrum to output spectrum.
# This procedure uses the MWCS forward and inverse transformations
# and interpolate the input data, conserving flux if desired. Image
# interpolation uses the image interpolation package and flux conservation
# integrates the interpolation function across the output pixel. This
# procedure does some CLIO to get the interpolation function and to
# query whether to conserve flux.
procedure dispcor (cti, linei, cto, lineo, in, npts, out, nw, flux)
pointer cti #I MWCS input inverse transformation
int linei #I Spectrum line
pointer cto #I MWCS output forward transformation
int lineo #I Spectrum line
real in[npts] #I Input spectrum
int npts #I Number of input pixels
real out[nw] #O Output spectrum
int nw #I Number of output pixels
bool flux #I Conserve flux
char interp[10]
bool ofb_a, ofb_b
int i, j, ia, ib, clgwrd()
real a, b, sum, asieval(), asigrl()
double x, xmin, xmax, w, y1, y2, smw_c1trand()
pointer asi, temp
begin
# Get the image buffers fit the interpolation function to the
# input spectrum. Extend the interpolation by one pixel at each end.
call malloc (temp, npts+2, TY_REAL)
call amovr (in, Memr[temp+1], npts)
Memr[temp] = in[1]
Memr[temp+npts+1] = in[npts]
call asiinit (asi, clgwrd ("interp", interp, 10, II_FUNCTIONS))
call asifit (asi, Memr[temp], npts+2)
call mfree (temp, TY_REAL)
# Determine edges of output pixels in input spectrum and integrate
# using ASIGRL. If not flux conserving take the average.
xmin = 0.5
xmax = npts + 0.5
x = 0.5
if (IS_INDEFI(lineo))
w = smw_c1trand (cto, x)
else {
y1 = lineo
call smw_c2trand (cto, x, y1, w, y2)
}
if (IS_INDEFI(linei))
x = smw_c1trand (cti, w)
else {
#y2 = linei
call smw_c2trand (cti, w, y2, x, y1)
}
ofb_b = (x < xmin || x > xmax)
b = max (xmin, min (xmax, x)) + 1
do i = 1, nw {
ofb_a = ofb_b
a = b
x = i + 0.5
if (IS_INDEFI(lineo))
w = smw_c1trand (cto, x)
else {
y1 = lineo
call smw_c2trand (cto, x, y1, w, y2)
}
if (IS_INDEFI(linei))
x = smw_c1trand (cti, w)
else {
#y2 = linei
call smw_c2trand (cti, w, y2, x, y1)
}
ofb_b = (x < xmin || x > xmax)
b = max (xmin, min (xmax, x)) + 1
if (ofb_a && ofb_b)
out[i] = 0.
else if (a <= b) {
ia = nint (a + 0.5)
ib = nint (b - 0.5)
if (abs (a+0.5-ia) < 0.00001 && abs (b-0.5-ib) < 0.00001) {
sum = 0.
do j = ia, ib
sum = sum + asieval (asi, real(j))
out[i] = sum
} else
out[i] = asigrl (asi, a, b)
if (!flux)
out[i] = out[i] / max (b - a, 1e-4)
} else {
ib = nint (b + 0.5)
ia = nint (a - 0.5)
if (abs (a-0.5-ia) < 0.00001 && abs (b+0.5-ib) < 0.00001) {
sum = 0.
do j = ib, ia
sum = sum + asieval (asi, real(j))
out[i] = sum
} else
out[i] = asigrl (asi, b, a)
if (!flux)
out[i] = out[i] / max (a - b, 1e-4)
}
}
call asifree (asi)
end
# DISPCORA -- Dispersion correct input spectrum to output spectrum.
# This procedure uses the MWCS forward and inverse transformations
# and interpolate the input data, conserving flux if desired. Image
# interpolation uses the image interpolation package and flux conservation
# integrates the interpolation function across the output pixel. This
# procedure does some CLIO to get the interpolation function and to
# query whether to conserve flux.
#
# This differs from DISPCOR by the "blank" argument.
procedure dispcora (cti, linei, cto, lineo, in, npts, out, nw, flux, blank)
pointer cti #I MWCS input inverse transformation
int linei #I Spectrum line
pointer cto #I MWCS output forward transformation
int lineo #I Spectrum line
real in[npts] #I Input spectrum
int npts #I Number of input pixels
real out[nw] #O Output spectrum
int nw #I Number of output pixels
bool flux #I Conserve flux
real blank #I Out of bounds value (INDEF to leave unchanged
char interp[10]
bool ofb_a, ofb_b
int i, j, ia, ib, clgwrd()
real a, b, sum, asieval(), asigrl()
double x, xmin, xmax, w, y1, y2, smw_c1trand()
pointer asi, temp
begin
# Get the image buffers fit the interpolation function to the
# input spectrum. Extend the interpolation by one pixel at each end.
call malloc (temp, npts+2, TY_REAL)
call amovr (in, Memr[temp+1], npts)
Memr[temp] = in[1]
Memr[temp+npts+1] = in[npts]
call asiinit (asi, clgwrd ("interp", interp, 10, II_FUNCTIONS))
call asifit (asi, Memr[temp], npts+2)
call mfree (temp, TY_REAL)
# Determine edges of output pixels in input spectrum and integrate
# using ASIGRL. If not flux conserving take the average.
xmin = 0.5
xmax = npts + 0.5
x = 0.5
if (IS_INDEFI(lineo))
w = smw_c1trand (cto, x)
else {
y1 = lineo
call smw_c2trand (cto, x, y1, w, y2)
}
if (IS_INDEFI(linei))
x = smw_c1trand (cti, w)
else {
#y2 = linei
call smw_c2trand (cti, w, y2, x, y1)
}
ofb_b = (x < xmin || x > xmax)
b = max (xmin, min (xmax, x)) + 1
do i = 1, nw {
ofb_a = ofb_b
a = b
x = i + 0.5
if (IS_INDEFI(lineo))
w = smw_c1trand (cto, x)
else {
y1 = lineo
call smw_c2trand (cto, x, y1, w, y2)
}
if (IS_INDEFI(linei))
x = smw_c1trand (cti, w)
else {
#y2 = linei
call smw_c2trand (cti, w, y2, x, y1)
}
ofb_b = (x < xmin || x > xmax)
b = max (xmin, min (xmax, x)) + 1
if (ofb_a && ofb_b) {
if (!IS_INDEFR(blank))
out[i] = blank
} else if (a == b) {
if (!IS_INDEFR(blank))
out[i] = blank
} else if (a < b) {
ia = nint (a + 0.5)
ib = nint (b - 0.5)
if (abs (a+0.5-ia) < 0.00001 && abs (b-0.5-ib) < 0.00001) {
sum = 0.
do j = ia, ib
sum = sum + asieval (asi, real(j))
out[i] = sum
} else
out[i] = asigrl (asi, a, b)
if (!flux)
out[i] = out[i] / max (b - a, 1e-4)
} else {
ib = nint (b + 0.5)
ia = nint (a - 0.5)
if (abs (a-0.5-ia) < 0.00001 && abs (b+0.5-ib) < 0.00001) {
sum = 0.
do j = ib, ia
sum = sum + asieval (asi, real(j))
out[i] = sum
} else
out[i] = asigrl (asi, b, a)
if (!flux)
out[i] = out[i] / max (a - b, 1e-4)
}
}
call asifree (asi)
end
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