Next: Input Output Data Up: Spectral Fitting commands Prev: Examples

SBIN

Rebins a spectrum (by amalgamating channels) to achieve either as near as possible equal counts in a specified number of bins, or a given minimum count in each bin.

SBIN can be run on any 1D dataset, but it makes most sense to run it on a background subtracted spectrum BEFORE exposure correction, if there appear to be potential problems with sparse counts (i.e. a number of bins with 10 counts in the raw spectrum, before background subtraction). Since it changes the data binning, SBIN must be run BEFORE attaching a spectral response to the data.

For ROSAT XRT spectra see the help on SASSBIN.


Subtopics:



Next: Input Output Data Up: Spectral Fitting commands Prev: Examples