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An efficient method for calculating the least‐squares background fit in electron energy‐loss spectroscopy
Author(s) -
BECKERS A. L. D.,
GELSEMA E. S.,
BRUIJN W. C.
Publication year - 1993
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.1993.tb03361.x
Subject(s) - electron energy loss spectroscopy , spectroscopy , electron , computational physics , energy (signal processing) , physics , atomic physics , materials science , algorithm , chemistry , computer science , nuclear physics , quantum mechanics
Summary In quantitative electron energy‐loss spectroscopy, an estimate has to be made of the unspecific spectral background to obtain the element‐specific contribution of an ionization edge. For energy losses above c. 100 eV, such a background estimate is commonly performed by calculating the least–squares fit of a power‐law model to a part of the pre‐edge region of the spectrum and by extrapolating this model to the region beyond the edge. Existing methods are cumbersome in terms of computation time and stability, or yield biased estimates. Computation efficiency becomes important when processing spectral‐image sequences. In this paper a new, computationally efficient numerical method is presented, which appears to be extremely robust in practice.