diffima

NAME

diffima -- compute difference images


USAGE

diffima [flags] reference_image image(s)

backord b 1
cut_sat_radius y 0
error e false
factor o 0.0
field f 200
kreis j false
ksize k 17, 17
model l 4, 6,1.0, 4,3.0, 2,9.0, 0,0.1, 0,0.0, 0,0.0
normerror q false
notnormref n false
npara a 1
part p 0, 0, 0, 0
refbas r false
table t diffima.tab
varmask m ""
varpsforder w 0
verbose v 1


PARAMETERS

backord = 1
cut_sat_radius = 0
error = false
If true,
factor = 0.0
field = 200
Before kernel compilation, the image is divided into quadratic sub-images of this size. The difference image analysis is done individually on each of the sub-images. At the end the images are re-merged.
kreis = false
ksize = 17, 17
Kernel size in pixel.
model = 4, 6,1.0, 4,3.0, 2,9.0, 0,0.1, 0,0.0, 0,0.0
normerror = false
notnormref = false
npara = 1
part = 0, 0, 0, 0
Subimage coordinates x1, x2, y1, y2. If not "0, 0, 0, 0", the difference image analysis is only done in this subimage.
refbas = false
If true, the kernel base functions are calculated from the reference_image and written to the files "cc???.fits". If false, the kernel base functions are read from the files "cc???.fits".
table = diffima.tab
varmask = ""
Input image used to mask variable stars. Pixel having value "0" in the mask are not taken into accout for the determination of the kernel.
varpsforder = 0
Order of PSF-cariation.
verbose = 0
Verbose level. If verbose >=
reference_image
Input reference image.
image(s)
Input image(s).

DESCRIPTION

The task diffima ...


OUTPUT

d...

k...

diffima.tab

bildr.fits

e2bildr.fits

rmask.fits

If error >= true:
e.d...

e.k...

If refbas >= false:
cc???.fits

If verbose >= 1:

If verbose >= 2:
bildi.fits

ebildi.fits

bg-...
abs-...
kern-...
kernpara-...

EXAMPLE

diffima -e -m mask.fits -v 2 -a 1 -o 1. -b -1. -k 17 -f 250 -p 1,1000,1,1000 reference.fits stars_*.fits


Task index
This task was implemented by A. Riffeser
Dokumentation maintained by J. Koppenhöfer
This file was last time updated on 21 Mar 2005