A Tool for Evaluating Systematic Errors in Transmission-Mode X-ray Absorption Fine Structure due to Sample Preparation
POSTER
Abstract
X-ray Absorption Fine Structure (XAFS) is a premier method for studying the element-specific
local electronic and atomic structure. Several decades of effort have led to strong theoretical
modeling supported by community-standard tools for processing data and fitting to theory.
However, XAFS measurements themselves require care in sample preparation. We present here
the ERIS software package, with the goal of allowing easy estimates of the relationship between
sample preparation and the magnitude of resulting systematic errors when performing
transmission-mode XAFS. ERIS allows the user to load raw data with incident flux I0 and
transmitted flux IT and then evaluate the independent or combined effects of the two dominant
sample-preparation specific sources of systematic error: (1) the effects of sample thickness
combines with monochromator response function, and (2) the consequences of pinholes or other
sample irregularities. ERIS will help the XAFS community both by helping design more reliable
experiments and also by providing quantitative bounds for possible systematic errors.
local electronic and atomic structure. Several decades of effort have led to strong theoretical
modeling supported by community-standard tools for processing data and fitting to theory.
However, XAFS measurements themselves require care in sample preparation. We present here
the ERIS software package, with the goal of allowing easy estimates of the relationship between
sample preparation and the magnitude of resulting systematic errors when performing
transmission-mode XAFS. ERIS allows the user to load raw data with incident flux I0 and
transmitted flux IT and then evaluate the independent or combined effects of the two dominant
sample-preparation specific sources of systematic error: (1) the effects of sample thickness
combines with monochromator response function, and (2) the consequences of pinholes or other
sample irregularities. ERIS will help the XAFS community both by helping design more reliable
experiments and also by providing quantitative bounds for possible systematic errors.
Presenters
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David Cusick
Massachusetts Institute of Technology
Authors
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David Cusick
Massachusetts Institute of Technology