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The reluctantly accepted practice in XAFS analysis is to use as the
background function
``some reasonably smooth function which, in
some manner, approximates the original
''. All background
removal techniques use this approach, and the differences between
different techniques lies in how this rather qualitative criterion is
interpreted. In this chapter I'll explain how autobk interprets the
background criterion.
The main principle of autobk is to apply information theory to the separation of the background and XAFS. This allows the qualitative background criteria to be made quantitative and codified. The bearing of information theory on XAFS will be discussed in section 5.2