path: root/pkg/images/imcoords/doc/ccxymatch.hlp

.help ccxymatch Oct96 images.imcoords
.ih
NAME
ccxymatch -- Match celestial and pixel coordinate lists using various methods
.ih
USAGE
ccxymatch input reference output tolerance [ptolerance]
.ih
PARAMETERS
.ls input
The list of input pixel coordinate files.
.le
.ls reference
The list of input celestial coordinate files. The number of celestial coordinate
files must be one or equal to the number of pixel coordinate files.
.le
.ls output
The output matched coordinate files containing: 1) the celestial coordinates
of the matched objects in columns 1 and 2, 2) the pixel coordinates of the
matched objects in columns 3 and 4, and 3) the line numbers of the matched
objects in the celestial coordinate and pixel lists in columns 5 and 6.
.le
.ls tolerance
The matching tolerance in arcseconds. 
.le
.ls ptolerance
The matching tolerance in pixels. The ptolerance parameter is required 
by the "triangles" matching algorithm but not by the "tolerance" matching
algorithm.
.le
.ls refpoints = ""
A file of tie points used to compute the linear transformation
from the pixel coordinate system to the celestial coordinate system. Refpoints
is a text file containing the celestial coordinates of 1-3 tie points
in the first line, followed by the pixel coordinates of the same 1-3 tie points
in succeeding lines. The celestial coordinates are assumed to be
in the units specified by \fIlngunits\fR and \fIlatunits\fR.
If refpoints is undefined then the parameters \fIxin\fR, \fIyin\fR,
\fIxmag\fR, \fIymag\fR, \fIxrotation\fR, \fIyrotation\fR, \fIprojection\fR,
\fIlngref\fR, and \fIlatref\fR are used to compute the linear transformation.
.le
.ls xin = INDEF, yin = INDEF
The x and y origin of the pixel coordinate system. Xin and yin default to 
0.0 and 0.0 respectively.
.le
.ls xmag = INDEF, ymag = INDEF
The x and y scale factors in arcseconds per pixel. Xmag and
ymag default to 1.0 and 1.0 respectively.
.le
.ls xrotation = INDEF, yrotation = INDEF
The x and y rotation angles measured in degrees counter-clockwise. Xrotation
and yrotation default to 0.0 and 0.0 degrees respectively. To set east to the
up, down, left, and right directions, set xrotation to 90, 270, 180, and 0
respectively. To set north to the up, down, left, and right directions, set
yrotation to  0, 180, 90, and 270 degrees respectively. Any global rotation
must be added to both the xrotation and yrotation values.
.le
.ls projection = "tan"
The sky projection geometry. The most commonly used projections in
astronomy are "tan", "arc", "sin", and "lin". Other supported projections
are "ait", "car", "csc", "gls", "mer", "mol", "par", "pco", "qsc", "stg",
"tsc", and "zea".
.le
.ls lngref = INDEF, latref = INDEF
The origin of the celestial coordinate system. Lngref and latref define the
reference point of the sky projection \fIprojection\fR, and default to the
mean of the ra / longitude and dec / latitude coordinates respectively. Lngref
and latref are assumed to be in units of \fIlngunits\fR and \fIlatunits\fR.
.le
.ls lngcolumn = 1, latcolumn = 2
The columns in the celestial coordinate list containing the ra / longitude
and dec / latitude coordinate values.
.le
.ls xcolumn = 1, ycolumn = 2
The columns in the pixel coordinate list containing the x and y coordinate
values.
.le
.ls lngunits = "hours", latunits = "degrees"
The units of the celestial coordinates. The options are "hours", "degrees",
and "radians" for lngunits, and "degrees" and "radians" for latunits.
.le
.ls separation = 3.0
The minimum separation in arcseconds for objects in the celestial coordinate
lists. Objects closer together than separation arcseconds
are removed from the celestial coordinate lists prior to matching.
.le
.ls pseparation = 9.0
The minimum separation in pixels  for objects in the pixel coordinate
lists. Objects closer together than pseparation pixels
are removed from the pixel coordinate lists prior to matching.
.le
.ls matching = "triangles"
The matching algorithm. The choices are:
.ls tolerance
A linear transformation is applied to the pixel coordinates,
the appropriate projection is applied to the celestial coordinates,
the transformed pixel and celestial coordinates are sorted, 
points which are too close together are removed, and the pixel coordinates
which most closely match the celestial coordinates to within the
user specified tolerance are determined.  The tolerance algorithm requires
an initial estimate for the linear transformation.  This estimate can be
derived by supplying the coordinates of tie points via the
\fIrefpoints\fR file, or by setting the linear transformation parameters
\fIxin\fR, \fIyin\fR, \fIxmag\fR, \fIymag\fR, \fIxrotation\fR,
\fIyrotation\fR, \fIprojection\fR, \fIlngref\fR, and \fIlatref\fR. Assuming that
a good initial estimate for the required linear transformation is supplied,
the tolerance algorithm functions well in the presence of shifts, axis
flips, x and y scale changes, rotations, and axis skew between the two
coordinate systems. The algorithm is sensitive to higher order distortion terms
in the coordinate transformation.
.le
.ls triangles
A linear transformation is applied to the pixel coordinates,
the appropriate projection is applied to the celestial coordinates,
the transformed pixel and celestial coordinates are sorted, points
which are too close together are removed, and the pixel coordinates
are matched to the celestial coordinates using a triangle pattern
matching algorithm and user specified tolerance parameters.
The triangles pattern matching algorithm does not require prior knowledge
of the linear transformation, although it will use a transformation if one
is supplied.  The algorithm functions well in the presence of
shifts, axis flips, magnification, and rotation between the two coordinate
systems, as long as both lists have a reasonable number of objects
in common and the errors in the computed coordinates are small.
However as the algorithm depends on comparisons of similar triangles, it
is sensitive to differences in the x and y coordinate scales,
skew between the x and y axes, and higher order distortion terms
in the coordinate transformation.
.le
.le
.ls nmatch = 30
The maximum number of celestial and pixel coordinates used
by the "triangles" pattern matching algorithm. If either list contains
more coordinates than nmatch, the lists are subsampled. Nmatch should be
kept small as the computation and memory requirements of the "triangles"
algorithm depend on a high power of the lengths of the respective lists.
.le
.ls ratio = 10.0
The maximum ratio of the longest to shortest side of the 
triangles generated by the "triangles" pattern matching algorithm.
Triangles with computed longest to shortest side ratios > ratio
are rejected from the pattern matching algorithm. Ratio should never
be set higher than 10.0 but may be set as low as 5.0.
.le
.ls nreject = 10
The maximum number of rejection iterations for the "triangles" pattern
matching algorithm.
.le
.ls lngformat = "", latformat = ""
The format of the output celestial coordinates. The default formats are
"%13.3h", "%13.3h", and "%13.7g" for units of "hours", "degrees", and
"radians" respectively.
.le
.ls xformat = "%13.3f", yformat = "%13.3f"
The format of the output pixel coordinates.
By default the coordinates are output right justified in a field of
13 characters with 3 places following the decimal point.
.le
.ls verbose = yes
Print messages about the progress of the task ?
.le

.ih
DESCRIPTION

CCXYMATCH matches ra / dec or longitude / latitude coordinates in the
celestial coordinate list \fIreference\fR to their corresponding x and y
coordinates in the pixel coordinate list \fIinput\fR using user specified
tolerances in arcseconds \fItolerance\fR and pixels \fIptolerance\fR, and 
writes the matched coordinates to the output file \fIoutput\fR. The output
file is suitable for input to the plate solution computation task CCMAP.

CCXYMATCH matches the coordinate lists by: 1) projecting the celestial
coordinates onto a plane using the sky projection geometry \fIprojection\fR
and the reference point \fIlngref\fR and \fIlatref\fR,
2) computing an initial guess for the linear transformation required to
match the pixel coordinate system to the projected celestial coordinate system,
3) applying the computed transformation to the pixel coordinates, 4) sorting
the projected celestial and pixel coordinates lists, 5) removing points with a
minimum separation specified by the parameters \fIseparation\fR and
\fIpseparation\fR from both lists, 6) matching the two lists using either
the "triangles" or "tolerance" matching algorithms, and 7) writing the matched
list to the output file.

An initial estimate for the linear transformation is computed in one of 
two ways. If \fIrefpoints\fR is defined, the celestial and pixel coordinates
of up to three tie points are read from succeeding lines in the refpoints file,
and used to compute the linear transformation.  The coordinates of the tie
points can be typed in by hand if \fIrefpoints\fR is "STDIN". The formats of
two sample refpoints files are shown below.

.nf
# First sample refpoints file (1 reference file and N input files)

ra1 dec1  [ra2 dec2 [ra3 dec3]] # tie points for reference coordinate file
 x1   y1  [ x2  y2  [ x3   y3]] # tie points for input coordinate file 1
 x1   y1  [ x2  y2  [ x3   y3]] # tie points for input coordinate file 2
..    ..  [ ..  ..  [ ..   ..]
 x1   y1  [ x2  y2  [ x3   y3]] # tie points for input coordinate file N


# Second sample refpoints file (N reference files and N input files)

ra1 dec1  [ra2 dec2 [ra3 dec3]] # tie points for reference coordinate file 1
 x1   y1  [ x2   y2 [ x3   y3]] # tie points for input coordinate file 1
ra1 dec1  [ra2 dec2 [ra3 dec3]] # tie points for reference coordinate file 2
 x1   y1  [ x2   y2 [ x3   y3]] # tie points for input coordinate file 2
 ..   ..  [ ..   .. [ ..   ..]]
ra1 dec1  [ra2 dec2 [ra3 dec3]] # tie points for reference coordinate file N
 x1   y1  [ x2   y2 [ x3   y3]] # tie points for input coordinate file N

.fi

If the refpoints file is undefined the parameters \fIxin\fR, \fIxin\fR,
\fIxmag\fR, \fIymag\fR, \fIxrotation\fR, \fIxrotation\fR are used
to compute a linear transformation from the pixel coordinates to the
standard coordinates xi and eta as shown below. Orientation and skew
are the orientation of the x and y axes and their deviation from
perpendicularity respectively.


.nf
	 xi = a + b * x + c * y
	eta = d + e * x + f * y
    
	xrotation = orientation - skew / 2
	yrotation = orientation + skew / 2
	b = xmag * cos (xrotation)
	c = -ymag * sin (yrotation)
	e = xmag * sin (xrotation)
	f = ymag * cos (yrotation)
	a = 0.0 - b * xin - c * yin = xshift
	d = 0.0 - e * xin - f * yin = yshift
.fi

Both methods of computing the initial linear transformation compute the
standard coordinates xi and eta by projecting the celestial coordinates
onto a plane using the sky projection geometry \fIprojection\fR and the
reference point \fIlngref\fR and \fIlatref\fR. The celestial coordinates
are assumed to be in units of \fIlngunits\fR and \fIlatunits\fR and the
standard coordinates are in arcseconds. The linear transformation and its
geometric interpretation are shown below.

The celestial and pixel coordinates are read from columns \fIlngcolumn\fR and
\fIlatcolumn\fR in the celestial coordinate list, and \fIxcolumn\fR, and
\fIycolumn\fR in the pixel coordinate list respectively. The pixel
coordinates are transformed using the linear transformation described above,
the celestial coordinate in units of \fIlngunits\fR and \fIlatunits\fR
are projected to standard coordinates in arcseconds, and stars closer together
than \fIseparation\fR arcseconds and \fIpseparation\fR pixels are removed
from the celestial and pixel coordinate lists respectively.

The coordinate lists are matched using the matching algorithm specified by
\fImatching\fR. If matching is "tolerance", CCXYMATCH searches the transformed
sorted pixel coordinate list for the coordinates that are within the matching
tolerance \fItolerance\fR and closest to the current standard coordinates.
The major advantage of the "tolerance" algorithm is that it can handle x and y
scale differences and axis skew in the coordinate transformation. The major
disadvantage of the "tolerance" algorithm is that the user must supply
tie point information in all but the simplest case of small x and y
shifts between the pixel and celestial coordinate systems.

If matching is "triangles", CCXYMATCH constructs a list of triangles
using up to \fInmatch\fR celestial coordinates and transformed pixel
coordinates and performs a pattern matching operation on the resulting
triangle lists. If the number of coordinates in both lists is less than
\fInmatch\fR the entire list is matched using the "triangles" algorithm
directly, otherwise the "triangles" algorithm is used to estimate a new
linear transformation, the input coordinate list is transformed using
the new transformation, and the entire list is matched using the "tolerance"
algorithm. The major advantage of the "triangles" algorithm is that it
requires no tie point information from the user. The major disadvantages of the
algorithm are that, it is sensitive to x and y scale differences and axis
skew between the celestial and pixel coordinate systems, and can be
computationally expensive.

The matched celestial and pixel coordinates are written to columns 1, 2, 3,
and 4 of the output file, in the formats specified by the \fIlngformat\fR,
\fIlatformat\fR, \fIxformat\fR and \fIyformat\fR parameters.  The original
line numbers in the celestial and pixels coordinate files are written to
columns 5 and 6.

If \fIverbose\fR is yes, detailed messages about actions taken by the
task are written to the terminal as the task executes.

.ih
ALGORITHMS

The "triangles" algorithm uses a sophisticated pattern matching
technique which requires no tie point information from the user.
It is expensive computationally and is therefore restricted to a maximum
of \fInmatch\fR objects from the celestial and pixel coordinate lists.

The "triangles" algorithm first generates a list
of all the possible triangles that can be formed from the points in each list.
For a list of nmatch points this number is the combinatorial factor
nmatch! / [(nmatch-3)! * 3!] or  nmatch * (nmatch-1) * (nmatch-2) / 6.
The length of the perimeter, ratio of longest to shortest side, cosine
of the angle between the longest and shortest side, the tolerances in
the latter two quantities and the direction of the arrangement of the vertices
of each triangle are computed and stored in a table.
Triangles with vertices closer together than \fItolerance\fR and
\fIptolerance\fR, or
with a ratio of the longest to shortest side greater than \fIratio\fR
are discarded. The remaining triangles are sorted in order of increasing
ratio.  A sort merge algorithm is used to match the triangles using the
ratio and cosine information, the tolerances in these quantities, and
the maximum tolerances for both lists. The ratios of the
perimeters of the matched triangles are compared to the most common ratio
for the entire list, and triangles which deviate too widely from this number
are discarded. The number of triangles remaining are divided into
the number which match in the clockwise sense and the number which match
int the counter-clockwise sense. Those in the minority category
are eliminated.
The rejection step can be repeated up to \fInreject\fR times or until
no more rejections occur, whichever comes first.
The last step in the algorithm is a voting procedure in which each remaining
matched triangle casts three votes, one for each matched pair of vertices.
Points which have fewer than half the maximum number of
votes are discarded. The final set of matches are written to the output file.

The "triangles" algorithm functions well when the celestial and
pixel coordinate lists have a sufficient number of objects (50%, 
in some cases as low as 25%) of their objects in common, any distortions
including x and y scale differences and skew between the two systems are small,
and the random errors in the coordinates are small. Increasing the value of
the \fItolerance\fR parameter will increase the ability to deal with
distortions but will also produce more false matches which after some point
will swamp the true matches.

.ih
FORMATS

A  format  specification has the form "%w.dCn", where w is the field
width, d is the number of decimal places or the number of digits  of
precision,  C  is  the  format  code,  and  n is radix character for
format code "r" only.  The w and d fields are optional.  The  format
codes C are as follows:
 
.nf
b       boolean (YES or NO)
c       single character (c or '\c' or '\0nnn')
d       decimal integer
e       exponential format (D specifies the precision)
f       fixed format (D specifies the number of decimal places)
g       general format (D specifies the precision)
h       hms format (hh:mm:ss.ss, D = no. decimal places)
m       minutes, seconds (or hours, minutes) (mm:ss.ss)
o       octal integer
rN      convert integer in any radix N
s       string (D field specifies max chars to print)
t       advance To column given as field W
u       unsigned decimal integer
w       output the number of spaces given by field W
x       hexadecimal integer
z       complex format (r,r) (D = precision)
 


Conventions for w (field width) specification:
 
    W =  n      right justify in field of N characters, blank fill
        -n      left justify in field of N characters, blank fill
        0n      zero fill at left (only if right justified)
absent, 0       use as much space as needed (D field sets precision)
 
Escape sequences (e.g. "\n" for newline):
 
\b      backspace   (not implemented)
\f      formfeed
\n      newline (crlf)
\r      carriage return
\t      tab
\"      string delimiter character
\'      character constant delimiter character
\\      backslash character
\nnn    octal value of character
 
Examples
 
%s          format a string using as much space as required
%-10s       left justify a string in a field of 10 characters
%-10.10s    left justify and truncate a string in a field of 10 characters
%10s        right justify a string in a field of 10 characters
%10.10s     right justify and truncate a string in a field of 10 characters
 
%7.3f       print a real number right justified in floating point format
%-7.3f      same as above but left justified
%15.7e      print a real number right justified in exponential format
%-15.7e     same as above but left justified
%12.5g      print a real number right justified in general format
%-12.5g     same as above but left justified

%h          format as nn:nn:nn.n
%15h        right justify nn:nn:nn.n in field of 15 characters
%-15h       left justify nn:nn:nn.n in a field of 15 characters
%12.2h      right justify nn:nn:nn.nn
%-12.2h     left justify nn:nn:nn.nn
 
%H          / by 15 and format as nn:nn:nn.n
%15H        / by 15 and right justify nn:nn:nn.n in field of 15 characters
%-15H       / by 15 and left justify nn:nn:nn.n in field of 15 characters
%12.2H      / by 15 and right justify nn:nn:nn.nn
%-12.2H     / by 15 and left justify nn:nn:nn.nn

\n          insert a newline
.fi

.ih
REFERENCES

A detailed description of the "triangles" pattern matching algorithm used here
can be found in the article "A Pattern-Matching Algorithm for Two-
Dimensional Coordinate Lists" by E.J. Groth, A.J. 91, 1244 (1986).

.ih
EXAMPLES

1. Compute the plate solution for a 1528 by 2288 B band image of M51 by
matching a list of reference stars extracted from the Guide Star Catalog
with the regions task against a list of bright stars detected with the daofind
task. The approximate image center is RA = 13:29:52.8 and DEC = +47:11:41
(J2000) and the image scale is 0.43 arcseconds / pixel.

.nf
... Get the guide stars (see stsdas.analysis.gasp package).
cl> regions 13:29:52.8 47:11:41 0.27 m51b.gsc.tab

... Convert the binary table to a text file (see package tables.ttools).
cl> tprint  m51b.gsc.tab > m51b.gsc

... Examine the guide star list.
cl> type m51b.gsc

#  Table m51b.gsc.tab  Tue 10:39:55 22-Oct-96

# row      RA_HRS      RA_DEG     DEC_DEG        MAG
#           hours     degrees     degrees magnitudes

    1 13:29:13.33 202:18:19.9  47:14:16.3       12.3
    2 13:29:05.51 202:16:22.6  47:10:44.7       14.8
    3 13:29:48.60 202:27:09.0  47:07:42.5       15.0
    4 13:29:47.30 202:26:49.4  47:13:37.5       10.9
    5 13:29:31.65 202:22:54.7  47:18:54.7       15.0
    6 13:29:06.16 202:16:32.4  47:04:53.1       14.9
    7 13:29:37.40 202:24:21.1  47:09:09.2       15.1
    8 13:29:38.70 202:24:40.5  47:13:36.2       15.0
    9 13:29:55.42 202:28:51.3  47:10:05.2       15.4
   10 13:29:06.91 202:16:43.7  47:04:07.9       12.4
   11 13:29:29.73 202:22:25.9  47:12:04.1       15.1
   12 13:30:07.96 202:31:59.4  47:05:18.3       14.7
   13 13:30:01.82 202:30:27.2  47:12:58.8       11.8
   14 13:30:36.75 202:39:11.2  47:04:05.9       14.9
   15 13:30:34.04 202:38:30.6  47:16:44.8       13.2
   16 13:30:14.95 202:33:44.3  47:10:27.6       13.4

... Locate bright stars in the image (see noao.digiphot.daophot package).
... Suitable values for fwhmpsf, sigma, ... and threshold can be determined
... using the imstatistics and imexamine tasks. Some experimentation may be
... necessary to determine optimal values.
cl> daofind m51b "default" fwhmpsf=4.0 sigma=5.0 threshold=20.0

...  Examine the star list.
cl> type m51b.coo.1

   ...
#N XCENTER   YCENTER   MAG      SHARPNESS   SROUND      GROUND      ID 
   ...
   401.034   147.262   -2.315   0.473       -0.075      -0.170      1     
   261.137   453.696   -1.180   0.481       -0.373      -0.135      2     
   860.002   480.061   -1.397   0.373       -0.218      -0.178      3     
   69.342    675.895   -0.955   0.368       -0.294      -0.133      4     
   1127.791  680.033   -1.166   0.449       -0.515      -0.326      5     
   972.435   691.544   -1.722   0.449       -0.327      -0.060      6     
   1348.891  715.084   -1.069   0.389       -0.242      -0.145      7     
   946.114   797.067   -0.543   0.406       -0.198      -0.069      8     
   698.455   811.407   -1.620   0.437       -0.038      -0.028      9     
   964.566   853.201   -0.317   0.382       0.031       -0.086      10    
   236.088   864.817   -3.515   0.429       -0.164      -0.035      11    
   919.703   909.835   -3.775   0.447       0.051       0.007       12    
   406.592   985.807   -0.715   0.424       -0.307      -0.068      13    
   920.790   986.083   -0.600   0.364       -0.047      0.021       14    
   761.403   1037.795  -1.944   0.383       -0.023      0.120       15    
   692.012   1050.603  -0.508   0.339       -0.365      -0.164      16    
   1023.330  1060.144  -1.897   0.381       -0.246      -0.288      17    
   681.864   1066.937  -0.059   0.467       -0.175      0.135       18    
   1307.802  1085.564  -1.173   0.435       0.032       -0.207      19    
   716.494   1094.800  -0.389   0.421       -0.412      -0.032      20    
   715.935   1106.616  -3.747   0.649       0.271       0.245       21    
   1093.813  1300.189  -1.557   0.377       -0.309      -0.078      22    
   596.406   1353.798  -0.461   0.383       0.029       -0.103      23    
   1212.117  1362.636  -0.362   0.369       -0.180      0.043       24    
   251.355   1488.048  -0.909   0.357       -0.390      0.077       25    
   600.659   1630.261  -1.392   0.423       0.013       -0.312      26    
   329.448   2179.233  -0.824   0.442       -0.463      0.325       27    

... Match the two lists using the "triangles" algorithm and tolerances of
... 1.0 arcseconds and 3.0 pixels respectively.
cl> ccxymatch m51b.coo.1 m51b.gsc m51b.mat.1 1.0 3.0 lngcolumn=2 latcolumn=4

... Examine the matched file.
cl> type m51b.mat.1

# Input: m51b.coo.1  Reference: m51b.gsc  Number of tie points: 0
# Initial linear transformation
#     xref[tie] =         0. +         1. * x[tie] +         0. * y[tie]
#     yref[tie] =         0. +         0. * x[tie] +         1. * y[tie]
# dx: 0.00 dy: 0.00 xmag: 1.000 ymag: 1.000 xrot: 0.0 yrot: 0.0
#
# Column definitions
#    Column 1: Reference Ra / Longitude coordinate
#    Column 2: Reference Dec / Latitude coordinate
#    Column 3: Input X coordinate
#    Column 4: Input Y coordinate
#    Column 5: Reference line number
#    Column 6: Input line number

 13:29:48.600   47:07:42.50        860.002       480.061      8    44
 13:29:38.700   47:13:36.20       1093.813      1300.189     13    63
 13:29:55.420   47:10:05.20        698.455       811.407     14    50
 13:29:29.730   47:12:04.10       1307.802      1085.564     16    60
 13:30:07.960   47:05:18.30        401.034       147.262     17    42
 13:30:14.950   47:10:27.60        236.088       864.817     21    52

... Compute the plate solution.
cl> ccmap m51b.mat.1 ccmap.db results=STDOUT xcolumn=3 ycolumn=4 lngcolumn=1 \
latcolumn=2 refpoint=user lngref=13:29:52.8 latref=47:11:41  interactive=no

Coords File: m51b.mat.1  Image: 
    Database: ccmap.db  Record: m51b.mat.1
Refsystem: j2000  Coordinates: equatorial FK5
    Equinox: J2000.000 Epoch: J2000.000 MJD: 51544.50000
Insystem: j2000  Coordinates: equatorial FK5
    Equinox: J2000.000 Epoch: J2000.000 MJD: 51544.50000
Coordinate mapping status
    XI fit ok.  ETA fit ok.
    Ra/Dec or Long/Lat fit rms: 0.206  0.103   (arcsec  arcsec)
Coordinate mapping parameters
    Sky projection geometry: tan
    Reference point: 13:29:52.800  47:11:41.00  (hours  degrees)
    Reference point: 760.656  1033.450  (pixels  pixels)
    X and Y scale: 0.430  0.431  (arcsec/pixel  arcsec/pixel)
    X and Y axis rotation: 180.158  359.991  (degrees  degrees)

                        Input Coordinate Listing
   X      Y        Ra         Dec        Ra(fit)    Dec(fit)    Dra    Ddec

 860.0  480.1  13:29:48.60 47:07:42.5  13:29:48.62 47:07:42.5 -0.153  0.017
1093.8 1300.2  13:29:38.70 47:13:36.2  13:29:38.73 47:13:36.4 -0.258 -0.164
 698.5  811.4  13:29:55.42 47:10:05.2  13:29:55.43 47:10:05.2 -0.062  0.024
1307.8 1085.6  13:29:29.73 47:12:04.1  13:29:29.70 47:12:04.0  0.318  0.123
 401.0  147.3  13:30:07.96 47:05:18.3  13:30:07.96 47:05:18.4  0.028 -0.073
 236.1  864.8  13:30:14.95 47:10:27.6  13:30:14.94 47:10:27.5  0.127  0.073
.fi



2. Repeat example 1 but replace the daofind pixel list with one generated
using the center task and a finder chart created with the skymap task.

.nf
... Get the guide stars. (see stsdas.analysis.gasp package)
cl> regions 13:29:52.8 47:11:41 0.27 m51b.gsc.tab

... Create the finder chart (see stsdas.analysis.gasp package)
cl> gasp.skymap m51b.gsc.tab 13:29:52.8 47:11:41 INDEF 0.27            \
objstyle=square racol=RA_HRS deccol=DEC_DEG magcol=MAG interactive-    \
dev=stdplot

... Convert the binary table to a text file. (see tables.ttools package)
cl> tprint  m51b.gsc.tab > m51b.gsc

... Mark and center the guide stars on the image display using the finder
... chart produced by the skymap task and the center task (see  the
... digiphot.apphot package).
cl> display m51b 1 fi+
cl> center m51b cbox=7.0 ...
cl> pdump m51b.ctr.1 xcenter,ycenter yes > m51b.pix 

... Display the pixel coordinate list.
cl> type m51b.pix

401.022  147.183
236.044  864.882
698.368  811.329
860.003  480.051
1127.754  680.020
1307.819  1085.615
1093.464  1289.595
1212.001  1362.594
1348.963  715.085

... Match the two lists using the "triangles" algorithm and tolerances of
... 1.0 arcseconds and 3.0 pixels respectively.
cl> ccxymatch m51b.pix m51b.gsc m51b.mat.2 1.0 3.0 lngcolumn=2 latcolumn=4

... Examine the matched file.
cl> type m51b.mat.2

# Input: m51b.pix  Reference: m51b.gsc  Number of tie points: 0
# Initial linear transformation
#       xi[tie] =         0. +         1. * x[tie] +         0. * y[tie]
#      eta[tie] =         0. +         0. * x[tie] +         1. * y[tie]
# dx: 0.00 dy: 0.00 xmag: 1.000 ymag: 1.000 xrot: 0.0 yrot: 0.0
#
# Column definitions
#    Column 1: Reference Ra / Longitude coordinate
#    Column 2: Reference Dec / Latitude coordinate
#    Column 3: Input X coordinate
#    Column 4: Input Y coordinate
#    Column 5: Reference line number
#    Column 6: Input line number

 13:29:48.600   47:07:42.50        860.003       480.051      8     4
 13:29:37.400   47:09:09.20       1127.754       680.020     12     5
 13:29:55.420   47:10:05.20        698.368       811.329     14     3
 13:29:29.730   47:12:04.10       1307.819      1085.615     16     6
 13:30:07.960   47:05:18.30        401.022       147.183     17     1
 13:30:14.950   47:10:27.60        236.044       864.882     21     2

... Compute the plate solution.
cl> ccmap m51b.mat.2 ccmap.db results=STDOUT xcolumn=3 ycolumn=4 lngcolumn=1 \
latcolumn=2 refpoint=user lngref=13:29:52.8 latref=47:11:41 interactive=no

Coords File: m51b.mat.2  Image: 
    Database: junk.db  Record: m51b.mat.2
Refsystem: j2000  Coordinates: equatorial FK5
    Equinox: J2000.000 Epoch: J2000.000 MJD: 51544.50000
Insystem: j2000  Coordinates: equatorial FK5
    Equinox: J2000.000 Epoch: J2000.000 MJD: 51544.50000
Coordinate mapping status
    XI fit ok.  ETA fit ok.
    Ra/Dec or Long/Lat fit rms: 0.312  0.0664   (arcsec  arcsec)
Coordinate mapping parameters
    Sky projection geometry: tan
    Reference point: 13:29:52.800  47:11:41.00  (hours  degrees)
    Reference point: 761.093  1033.230  (pixels  pixels)
    X and Y scale: 0.430  0.431  (arcsec/pixel  arcsec/pixel)
    X and Y axis rotation: 180.175  359.998  (degrees  degrees)

                        Input Coordinate Listing
   X      Y        Ra         Dec        Ra(fit)    Dec(fit)    Dra    Ddec
.fi


3. Repeat example 1 but use the "tolerance" matching algorithm and apriori
knowledge of the celestial and pixel coordinates of the nucleus of M51,
the x and y image scales, and the orientation of the detector on the telescope
to match the two lists.

.nf
... Match the two lists using the ccxymatch "tolerance" algorithm and
... a matching tolerance of 2.0 arcseconds. Note the negative and positive
... signs on the xmag and ymag parameters and lack of any rotation,
... indicating that north is up and east is to the left.
cl> ccxymatch m51b.coo.1 m51b.gsc m51b.mat.3 2.0 lngcolumn=2 latcolumn=4 \
matching=tolerance xin=761.40 yin=1037.80 xmag=-0.43 ymag=0.43 xrot=0.0  \
yrot=0.0 lngref=13:29:52.80 latref=47:11:42.9

... Examine the matched file.
cl> type m51b.mat.3

# Input: m51b.coo.1  Reference: m51b.gsc  Number of tie points: 0
# Initial linear transformation
#     xref[tie] =    327.402 +      -0.43 * x[tie] +         0. * y[tie]
#     yref[tie] =   -446.254 +         0. * x[tie] +       0.43 * y[tie]
# dx: 327.40 dy: -446.25 xmag: 0.430 ymag: 0.430 xrot: 180.0 yrot: 0.0
#
# Column definitions
#    Column 1: Reference Ra / Longitude coordinate
#    Column 2: Reference Dec / Latitude coordinate
#    Column 3: Input X coordinate
#    Column 4: Input Y coordinate
#    Column 5: Reference line number
#    Column 6: Input line number

 13:30:07.960   47:05:18.30        401.034       147.262     17    42
 13:29:48.600   47:07:42.50        860.002       480.061      8    44
 13:29:37.400   47:09:09.20       1127.791       680.033     12    46
 13:29:55.420   47:10:05.20        698.455       811.407     14    50
 13:30:14.950   47:10:27.60        236.088       864.817     21    52
 13:29:29.730   47:12:04.10       1307.802      1085.564     16    60
 13:29:38.700   47:13:36.20       1093.813      1300.189     13    63


... Compute the plate solution.
cl> ccmap m51b.mat.3 ccmap.db results=STDOUT xcolumn=3 ycolumn=4 lngcolumn=1 \
latcolumn=2 refpoint=user lngref=13:29:52.8 latref=47:11:41 interactive=no

Coords File: m51b.mat.3  Image: 
    Database: ccmap.db  Record: m51.mat.3
Refsystem: j2000  Coordinates: equatorial FK5
    Equinox: J2000.000 Epoch: J2000.000 MJD: 51544.50000
Insystem: j2000  Coordinates: equatorial FK5
    Equinox: J2000.000 Epoch: J2000.000 MJD: 51544.50000
Coordinate mapping status
    XI fit ok.  ETA fit ok.
    Ra/Dec or Long/Lat fit rms: 0.342  0.121   (arcsec  arcsec)
Coordinate mapping parameters
    Sky projection geometry: tan
    Reference point: 13:29:52.800  47:11:41.00  (hours  degrees)
    Reference point: 760.687  1033.441  (pixels  pixels)
    X and Y scale: 0.430  0.431  (arcsec/pixel  arcsec/pixel)
    X and Y axis rotation: 180.174  359.949  (degrees  degrees)

                        Input Coordinate Listing
   X      Y        Ra         Dec        Ra(fit)    Dec(fit)    Dra    Ddec

 401.0  147.3  13:30:07.96 47:05:18.3  13:30:07.97 47:05:18.4 -0.109 -0.109
 860.0  480.1  13:29:48.60 47:07:42.5  13:29:48.64 47:07:42.5 -0.385 -0.045
1127.8  680.0  13:29:37.40 47:09:09.2  13:29:37.34 47:09:09.0  0.572  0.152
 698.5  811.4  13:29:55.42 47:10:05.2  13:29:55.43 47:10:05.2 -0.118  0.009
 236.1  864.8  13:30:14.95 47:10:27.6  13:30:14.92 47:10:27.5  0.290  0.116
1307.8 1085.6  13:29:29.73 47:12:04.1  13:29:29.72 47:12:04.0  0.082  0.060
1093.8 1300.2  13:29:38.70 47:13:36.2  13:29:38.73 47:13:36.4 -0.332 -0.184
.fi



4. Repeat example 3 but input the appropriate linear transformation via a list
of tie points, rather than setting the transformation parameters directly.

.nf
... Display the tie points.
cl> type refpts
13:29:55.42 47:10:05.2  13:29:38.70 47:13:36.2  13:30:14.95 47:10:27.6
     698.5       811.4      1093.8      1300.2       236.1       864.8

... Match the lists using the ccxymatch "tolerance" algorithm and a matching
... tolerance of 2.0 arcseconds. Note the negative and positive signs on the
... xmag and ymag parameters and lack of any rotation, indicating that north
... is up and east is to the left.
cl> ccxymatch m51b.coo.1 m51b.gsc m51b.mat.4 2.0 refpoints=refpts          \
lngcolumn=2 latcolumn=4 matching=tolerance lngref=13:29:52.80              \
latref=47:11:42.9

... Examine the matched list.
cl> type m51b.mat.4

# Input: m51b.coo.1  Reference: m51b.gsc  Number of tie points: 3
#     tie point:   1  ref:    26.718   -97.698  input:   698.500   811.400
#     tie point:   2  ref:  -143.629   113.354  input:  1093.800  1300.200
#     tie point:   3  ref:   225.854   -75.167  input:   236.100   864.800
#
# Initial linear transformation
#       xi[tie] =   327.7137 + -0.4306799 * x[tie] + -2.0406E-4 * y[tie]
#      eta[tie] =  -448.0854 + 0.00103896 * x[tie] +   0.430936 * y[tie]
# dx: 327.71 dy: -448.09 xmag: 0.431 ymag: 0.431 xrot: 179.9 yrot: 0.0
#
# Column definitions
#    Column 1: Reference Ra / Longitude coordinate
#    Column 2: Reference Dec / Latitude coordinate
#    Column 3: Input X coordinate
#    Column 4: Input Y coordinate
#    Column 5: Reference line number
#    Column 6: Input line number


 13:30:07.960   47:05:18.30        401.034       147.262     17    42
 13:29:48.600   47:07:42.50        860.002       480.061      8    44
 13:29:37.400   47:09:09.20       1127.791       680.033     12    46
 13:29:55.420   47:10:05.20        698.455       811.407     14    50
 13:30:14.950   47:10:27.60        236.088       864.817     21    52
 13:29:29.730   47:12:04.10       1307.802      1085.564     16    60
 13:29:38.700   47:13:36.20       1093.813      1300.189     13    63


... Compute the plate solution which is identical to the solution computed
... in example 2.
cl> ccmap m51b.mat.4 ccmap.db results=STDOUT xcolumn=3 ycolumn=4 lngcolumn=1 \
latcolumn=2 refpoint=user lngref=13:29:52.8 latref=47:11:41 interactive=no
.fi

.ih
TIME REQUIREMENTS
.ih
BUGS
.ih
SEE ALSO
stsdas.gasp.regions,stsdas.gasp.skymap,tables.ttools.tprint,daophot.daofind,ccmap
.endhelp