Weighted least squares estimation of background in EELS imaging
Year: 1985
Type: article
Abstract: In quantitative Electron Energy Loss Spectrometry, a weighted least squares estimation should theoretically be used to estimate the background law below core edge energy, since the variances of the data vary. However, it is found that proper weighting makes the above edge signal-to-noise ratio decrease rather than increase. This result is discussed, and the influence of the bias introduced by the logarithmic transformation of the data is quantified.
Source: Journal of Microscopy
Authors: Thierry Pun, James R. Ellis, Murray Eden
Institution: National Institutes of Health
Language: English
Subfield: Surfaces, Coatings and Films
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1971943895