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# AP_GMEASURE -- Procedure to measure the fluxes and effective areas of a set of
# apertures assuming a Gaussian weighting function.
procedure ap_gmeasure (im, wx, wy, c1, c2, l1, l2, aperts, sums, areas,
naperts, sigsq, gain, varsky)
pointer im # pointer to image
real wx, wy # center of subraster
int c1, c2 # column limits
int l1, l2 # line limits
real aperts[ARB] # array of apertures
double sums[ARB] # array of sums
double areas[ARB] # aperture areas
int naperts # number of apertures
real sigsq # the profile widht squared
real gain # the sky value
real varsky # the sky variance
int i, j, k, nx, yindex
double fctn, weight, norm
pointer sp, buf, sump, sumpw
real xc, yc, apmaxsq, dy2, r2, r, prof, var
pointer imgs2r()
begin
# Initialize.
call smark (sp)
call salloc (sump, naperts, TY_DOUBLE)
call salloc (sumpw, naperts, TY_DOUBLE)
call aclrd (Memd[sump], naperts)
call aclrd (Memd[sumpw], naperts)
# Get array boundary parameters.
nx = c2 - c1 + 1
xc = wx - c1 + 1
yc = wy - l1 + 1
apmaxsq = (aperts[naperts] + 0.5) ** 2
# Clear out the accumulaters
call aclrd (sums, naperts)
call aclrd (areas, naperts)
# Loop over the pixels.
do j = l1, l2 {
buf = imgs2r (im, c1, c2, j, j)
if (buf == EOF) {
call sfree (sp)
return
}
yindex = j - l1 + 1
dy2 = (yindex - yc) ** 2
do i = 1, nx {
r2 = (i - xc) ** 2 + dy2
if (r2 > apmaxsq)
next
prof = max (exp (-r2 / sigsq), 0.0)
if (prof <= 0.0)
next
var = max (0.0, Memr[buf+i-1])
var = var / gain + varsky
if (var <= 0.0)
next
weight = prof / var
r = sqrt (r2) - 0.5
do k = 1, naperts {
if (r > aperts[k])
next
fctn = max (0.0, min (1.0, aperts[k] - r))
sums[k] = sums[k] + weight * fctn * Memr[buf+i-1]
areas[k] = areas[k] + weight * fctn
Memd[sump+k-1] = Memd[sump+k-1] + prof
Memd[sumpw+k-1] = Memd[sumpw+k-1] + weight * prof
}
}
}
# Normalize.
do k = 1, naperts {
if (Memd[sumpw+k-1] <= 0.0d0)
norm = 0.0d0
else
norm = Memd[sump+k-1] / Memd[sumpw+k-1]
sums[k] = sums[k] * norm
areas[k] = areas[k] * norm
}
call sfree (sp)
end
# AP_BGMEASURE -- Procedure to measure the fluxes and effective areas of a set
# of apertures assuming a Gaussian weighting function.
procedure ap_bgmeasure (im, wx, wy, c1, c2, l1, l2, datamin, datamax,
aperts, sums, areas, naperts, minapert, sigsq, gain, varsky)
pointer im # pointer to image
real wx, wy # center of subraster
int c1, c2 # column limits
int l1, l2 # line limits
real datamin # minimum good data
real datamax # maximum good data
real aperts[ARB] # array of apertures
double sums[ARB] # array of sums
double areas[ARB] # aperture areas
int naperts # number of apertures
int minapert # minimum aperture fo bad pixels
real sigsq # the profile widht squared
real gain # the image gain value
real varsky # the sky variance
int i, j, k, nx, yindex, kindex
double fctn, weight, norm
pointer sp, buf, sump, sumpw
real xc, yc, apmaxsq, dy2, r2, r
real pixval, prof, var
pointer imgs2r()
begin
# Initialize.
call smark (sp)
call salloc (sump, naperts, TY_DOUBLE)
call salloc (sumpw, naperts, TY_DOUBLE)
call aclrd (Memd[sump], naperts)
call aclrd (Memd[sumpw], naperts)
minapert = naperts + 1
# Get array boundary parameters.
nx = c2 - c1 + 1
xc = wx - c1 + 1
yc = wy - l1 + 1
apmaxsq = (aperts[naperts] + 0.5) ** 2
# Clear out the accumulaters
call aclrd (sums, naperts)
call aclrd (areas, naperts)
# Loop over the pixels.
do j = l1, l2 {
buf = imgs2r (im, c1, c2, j, j)
if (buf == EOF) {
call sfree (sp)
return
}
yindex = j - l1 + 1
dy2 = (yindex - yc) ** 2
do i = 1, nx {
r2 = (i - xc) ** 2 + dy2
if (r2 > apmaxsq)
next
prof = max (exp (-r2 / sigsq), 0.0)
if (prof <= 0.0)
next
pixval = Memr[buf+i-1]
var = max (0.0, pixval)
var = pixval / gain + varsky
if (var <= 0.0)
next
weight = prof / var
r = sqrt (r2) - 0.5
kindex = naperts + 1
do k = 1, naperts {
if (r > aperts[k])
next
kindex = min (k, kindex)
fctn = max (0.0, min (1.0, aperts[k] - r))
sums[k] = sums[k] + weight * fctn * pixval
areas[k] = areas[k] + weight * fctn
Memd[sump+k-1] = Memd[sump+k-1] + prof
Memd[sumpw+k-1] = Memd[sumpw+k-1] + weight * prof
}
if (kindex < minapert) {
if (pixval < datamin || pixval > datamax)
minapert = kindex
}
}
}
# Normalize.
do k = 1, naperts {
if (Memd[sumpw+k-1] <= 0.0d0)
norm = 0.0d0
else
norm = Memd[sump+k-1] / Memd[sumpw+k-1]
sums[k] = sums[k] * norm
areas[k] = areas[k] * norm
}
call sfree (sp)
end
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