quantifying-x-ray-fluorescence-data-using-maps

Quantifying X-Ray Fluorescence Data Using MAPS

The quantification of X-ray fluorescence (XRF) microscopy maps by fitting the raw spectra to a known standard is crucial for evaluating chemical ...

Arizona State University

The study of a multilayered and multicomponent system by spatially resolved X-ray fluorescence microscopy poses unique challenges in achieving accurate quantification of elemental distributions. This is particularly true for the quantification of materials with high X-ray attenuation coefficients, depth-dependent composition variations and thickness variations. A widely applicable procedure for use after spectrum fitting and quantification is described. This procedure corrects the elemental distribution from the measured fluorescence signal, taking into account attenuation of the incident beam and generated fluorescence from multiple layers, and accounts for sample thickness variations. Deriving from Beer-Lambert's law, formulae are presented in a general integral form and numerically applicable framework. The procedure is applied using experimental data from a solar cell with a Cu(In,Ga)Seabsorber layer, measured at two separate synchrotron beamlines with varied measurement geometries. This example shows the importance of these corrections in real material systems, which can change the interpretation of the measured distributions dramatically.

Mariana I Bertoni

School of Electrical,
Computer,
and Energy Engineering,
School of Electrical, Computer, and Energy Engineering

Arizona State University

Quantifying X-Ray Fluorescence Data Using MAPS

Mariana I Bertoni

School of Electrical,Computer,and Energy Engineering,School of Electrical, Computer, and Energy Engineering

Arizona State University

Quantifying X-Ray Fluorescence Data Using MAPS

School of Electrical,
Computer,
and Energy Engineering,
School of Electrical, Computer, and Energy Engineering