Abstract
X-ray absorption spectroscopy on dilute samples is still a challenge nowadays. By means of the fluorescence processes that follow the absorption it is possible to obtain the XAS spectrum; however, in order to gain sufficient statistics a multi-pixel fluorescence detector is required. A 100 pixel Ge detector will be available at beamline P64 at PETRA III for ultra dilute sample systems. Here, we propose a method of data reduction that resolves the line of interest from the scattering peak, improving the signal-to-noise ratio of the final XAS spectrum compared with the one obtained with a simple region of interest (ROI).
Highlights
Chemical processes on biological samples, like metalloproteins, are of great interest
The fitting algorithm was automatized to fit the amplitude of the Gaussian Agauss corresponde√nt to the CuKα line at each incident energy and to determine the area under the Gaussian ( 2πAgaussσgauss) in order to build up the XANES spectrum
Here we present an automatic routine of data reduction for the 100 pixel Ge detector with X-ray Absorption Spectroscopy (XAS) experiments
Summary
Chemical processes on biological samples, like metalloproteins, are of great interest. 2. Data Reduction Reducing n fluorescence spectra at a single incident energy could be done in principle with an average. A comparison between the three methods is exhibited in Figure 2 and shows that the corrected mean and the median decrease slightly the overlapping between the line of interest and the scattering.
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