EXAMPLES
1. Create a galaxy cluster with a power law distribution of field
galaxies and stars as background/foreground.
ar> gallist galaxies.dat 100 spatial=hubble lum=schecter egal=.8
ar> gallist galaxies.dat 500
ar> starlist galaxies.dat 100
ar> mkobjects galaxies obj=galaxies.dat gain=3 rdnoise=10 poisson+
Making the image takes about 5 minutes (2.5 min cpu) on a
SPARCstation 1.
2. Create a uniform artificial starfield of 5000 stars for a 512
square image.
ar> starlist starfield.dat 5000
ar> mkobjects starfield obj=starfield.dat gain=2 rdnoise=10 poisson+
This example takes about a minute on a SPARCstation 1.
3. Create a globular cluster field of 5000 stars for a 512 square
image.
ar> starlist gc.dat 5000 spat=hubble lum=bands
ar> mkobjects gc obj=gc.dat gain=2 rdnoise=10 poisson+
This example takes about a minute on a SPARCstation 1.
4. Add stars to an existing image for test purposes.
ar> mkobjects starfield obj=STDIN gain=2 pois+ magzero=30
100 100 20
100 200 21
200 100 22
200 200 23
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5. Look at the center of the globular cluster with no noise and very
good seeing.
cl> mkobjects gc1 obj=gc.dat nc=400 nl=400 distance=.5 \
>>> xo=-313 yo=-313 radius=.1
The offset parameters are used to recenter the cluster from
(256,256) in the data file to (200,200) in the expanded field.
This example takes 30 sec (5 sec CPU) on a SPARCstation 1. To
expand and contract about a fixed point define the object list to
have an origin at zero.
6. Make an image of dev$pix at various distances and orientation.
First we must subtract the background.
cl> imarith dev$pix - 38 pix
cl> mkobjects pix1 obj=STDIN nc=200 nl=200 back=1000 \
>>> magzero=30 rd=10 poi+
50 50 15.0 pix 40 1 0
150 50 15.6 pix 30 .8 45
50 150 16.5 pix 20 .6 90
150 150 17.1 pix 15 .4 135
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It would be somewhat more efficient to first block average the
template since the oversampling in this case is very large.
