SCULIB_COADD_MAPS - Average together integration and output map

Description:

This routine coadds the current integration image to the output image. The coadd variance is calculated from the spread of the integrations about the mean if more than one integration has been added in. The averaging is done over integrations, so that each point in an image is separate. An output point is good if either of the inputs is good. If only one dataset is coadded th variance is set zero. Input pixels with bad quality are ignored.

Invocation:

CALL SCULIB_COADD_MAPS(NPTS, DATA_IN, QUALITY_IN, WEIGHT, NCOADD, DATA_OUT, VARIANCE_OUT, QUALITY_OUT, WEIGHT_OUT, STATUS)

Arguments:

NPTS = INTEGER (Given)

Number of input data points

DATA_IN( NPTS ) = REAL (Given)

Input data

QUALITY_IN( NPTS ) = BYTE (Given)

Input data quality

WEIGHT = REAL (Given)

Relative weight of input data

NCOADD( NPTS ) = INTEGER (Given & Returned)

Number of points coadded into each data point

DATA_OUT( NPTS ) = REAL (Given & Returned)

Coadded output data

VARIANCE_OUT( NPTS ) = REAL (Given & Returned)

Variance of coadded output data.

QUALITY_OUT( NPTS ) = BYTE (Given & Returned)

Quality of coadded output data

WEIGHT_OUT( NPTS ) = REAL (Given & Returned)

Total weight of output data

STATUS = INTEGER (Given & Returned)

Global status

Copyright

Copyright ©1995,1996,1997,1998,1999 Particle Physics and Astronomy Research Council. All Rights Reserved.