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FRMDXDY

FRMDXDY

Name


  frmdxdy

Purpose


  Given two lists of source on field, find the dx,dy offset between lists.

Description


Category


  Astrometry

Calling Sequence


  frmdxdy,x1,y1,x2,y2,xoff,yoff,error

Inputs


  x1 - X coordinate from list 1, in pixels.
  y1 - Y coordinate from list 1, in pixels.
  x2 - X coordinate from list 2, in pixels.
  y2 - Y coordinate from list 2, in pixels.

Optional Input Parameters


Keyword Input Parameters


  NX - maximum extent in X to consider (default is max([x1,x2]))
  NY - maximum extent in Y to consider (default is max([y1,y2]))
  MAXERR - maximum error allowed in initial spread test of position.
              (default=3)
  FNDRAD - Size of the aperture used for the final offset measurement.
              DEFAULT VALUE = 12 pixels
          The default is provided based on its historical value. In most
              cases this appears to work pretty well and should generally
              be left alone. However, some data have been seen to get
              confused with a value that is this big. Changing this value
              will require knowing a better value for a specific dataset.
  SCALEFAC - Scaling factor to apply on the initial crude offset. The
              default is 1.0. This control is used for images where the
              pixel scale is very oversampled and very small on an absolute
              astrometric basis. One particular case where this was
              needed is in Magellan IMACS f/4 data where the image scale
              is 0.111 arcsec/pixel. With seeing of 1 arcsec the offset
              calculation does not get a good correlation peak. Binning
              the result makes the peak sharper and easier to find. For
              this case a scalefactor of 0.5 or 0.3 worked quite well.

Outputs


  xoff - X offset (2-1) between positions in each list.
  yoff - Y offset (2-1) between positions in each list.
  error - Code, set if something went wrong in correlating the lists.
            0 - everything appears to be good.
            1 - failure during input validation
            2 - spread in the initial x offset is too big (>maxerr)
            3 - spread in the initial y offset is too big (>maxerr)
            4 - correlation spot has negative "flux" or fwhm
            5 - Final pass on x offset excluded all points in robomean
            6 - Final pass on y offset excluded all points in robomean
            7 - All of the final pass x offsets were bigger than 1.5*xsize

Keyword Output Parameters


    FOM - Figure of merit, a number than can be used (differentially) to
          measure how good the spatial correlation is. This number is
          approximately the fraction of objects in the shortest list that
          ended up spatially correlated. A number close to 1 should be
          good.
  INDEX- index into list 2 for points in list1, ie, list2[index[i]] is the
        closest, or one of a group of closest points, in list 2 to the
        ith element of list 1, given the xoff, yoff determined.
        If SPATIAL is specified, elements of the index may be invalidated
        by setting to -1- these represent invalid matches from list 1.
        On return, if error is set, the index output should be ignored.
  SPATIAL- Filtering parameters to frmdxdy - a vector or scalar of either 1
          or 2 elements- the first is the max distance in pixels from the
          mean correlation dx,dy for a match to be valid, and the 2nd is
          the maximum threshold in sigma from the mean correlation dx,dy
          for a match to be valid. If SPATIAL is specified, invalid matches
          will be excluded (via an initial distance test and robomean) from
          both the IDX
          outputs and the final dx,dy result- if not specified, the distance
          and sigma criteria will be defaulted by frmdxdy. In this case,
          invalid matches will be excluded from the final dx,dy result but
          INCLUDED in the IDX output. Note that if only the first element of
          SPATIAL is specified, the second is defaulted to 3.0. The default
          assumed for spatial[0] is 3.0.

Common Blocks


Side Effects


Restrictions


  It is conventional (and faster) for list 1 to be the shorter
  of the two lists. Success is independent of the order in which lists
  are presented, although if list 1 is longer than list 2, the index generated
  will not be unique (many->1).

Procedure


Modification History


  99/03/22, Written by Marc W. Buie, Lowell Observatory
  2005/06/21, MWB, changed called to robomean to trap errors.
  2007/11/21, MWB, merged with alternate code buried in astrom.pro
  2009/07/23, MWB, modified so that x,y input arrays do not have to be
                    positivie definite.
  2009/07/24, MWB, added XOUT,YOUT optional output.
  2010/02/14, MWB, merged with alternate version from Peter Collins, this
                    brings in the INDEX and SPATIAL keywords.
  2010/07/19, MWB, minor tweak to ensure that the error flag is set for
                    all cases of premature return. Added FNDRAD keyword.
  2012/12/03, MWB, error code 3 never returned, fixed.
                    Added SCALEFAC keyword



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