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Algorithm
In the simplest mode (OPT=1) data are simply accumulated in
the ratio specified with the outer bin boundaries of each
group retained between input and output. In other modes
REBIN assumes that the input data are uniformly distributed in
each input bin, and donates an appropriate fraction of it to
output bins that overlap. Output bins at the edges which are
are not completely overlapped are not filled. The QUALITY of
each output bin is the logical OR of each contributing input bin.
Any output bin which has received no data has its QUALITY set
to 'Missing-data'.
Where data are normalised with respect to a given axis (as
indicated by the AXIS(n).NORMALISED flag), they are unnormalised
(eg. counts/s becomes counts) before being assigned to an output bin,
and that bin then renormalised when filled.
Next: Parameters Up: REBIN Prev: REBIN