FOURIER ANALYSIS OF EXTENDED FINE STRUCTURE WITH AUTOREGRESSIVE PREDICTION
Autoregressive prediction is adapted to double the resolution of Angle-Resolved Photoemission Extended Fine Structure (ARPEFS) Fourier transforms. Even with the optimal taper (weighting function), the commonly used taper-and-transform Fourier method has limited resolution: it assumes the signal is zero beyond the limits of the measurement. By seeking the Fourier spectrum of an infinite extent oscillation consistent with the measurements but otherwise having maximum entropy, the errors caused by finite data range can be reduced. Our procedure developed to implement this concept applies autoregressive prediction to extrapolate the signal to an extent controlled by a taper width. Difficulties encountered when processing actual ARPEFS data are discussed. A key feature of this approach is the ability to convert improved measurements (signal-to-noise or point density) into improved Fourier resolution.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Chemical Sciences Division
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 942268
- Report Number(s):
- LBL-14758-Rev; TRN: US200902%%115
- Journal Information:
- Submitted for Publication, Journal Name: Submitted for Publication
- Country of Publication:
- United States
- Language:
- English
Similar Records
Structure determination of chemisorbed c(2{times}2)P/Fe(100) using angle-resolved photoemission extended fine structure and self-consistent-field X{alpha} scattered-wave calculations: Comparison with c(2{times}2)S/Fe(100)
Simple surface structure determination from Fourier transforms of angle-resolved photoemission extended fine structure