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Trend-oriented Peak Search

The refinement of a preliminary peak position can easily be obtained by fitting a parabola a + bv + cx into 5 (or more) points around the local maximum, using the solutions for a, b, and c after Savitzky and Golay. The maximum of this parabola is the wanted refinement of the peak position and is calculated as the root of the 1st derivative y ( max) = 0 = b + 2c.Xinax- So far the 5-point appoximation one gets  [Pg.106]

As additional criterion for the acceptance of an X-ray reflection a certain minimal size of the 2nd derivative can be used (denominator in the above-mentioned equation 0, e.g. 2c —1 or —2). This is certainly necessary to avoid a possible division by 0. The points following a maximum must be discarded as further peaks as long as the 1st derivative stays negative, i.e. as one remains in the decreasing slope. [Pg.106]

After peak recognition both flanks are searched for the half height (above background, possibly by interpolation) and the difference of the corresponding x-values is taken as full width at half maximum of this peak (FWHM, short half-width). This difference should surpass a certain threshold (e.g. 0.06° in 20) to accept a found elevation above background as a true reflection. Thus, one has a further possibility at this point to eliminate possible outliers because they cause much narrower peaks than real reflections. [Pg.106]

The right and left half-widths of a peak should not differ too greatly. If one half-width is greater than 1.5 or 2-times the other, there probably exists a shoulder, i.e. a superimposition with a weaker reflection without an individual local maximum. In such a case the half-width estimated by the half-heights on both flanks systematically becomes too large and should be corrected using the smaller of both half-widths only (which hopefully is not affected by a shoulder). [Pg.106]

Shoulders cannot be recognized as separate reflections by this method, but only peaks with individual local maxima in the pattern (roots of the 1st derivative). [Pg.106]


See other pages where Trend-oriented Peak Search is mentioned: [Pg.105]    [Pg.105]   


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