2023
DOI: 10.1063/5.0168417
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Regularized weighted sine least-squares spectral analysis for gas electron diffraction data

Denis S. Tikhonov

Abstract: Here, we present a new approach for obtaining radial distribution functions (RDF) from the electron diffraction data using a regularized weighted sine least-squares spectral analysis. It allows for explicitly transferring the measured experimental uncertainties in the reduced molecular scattering function to the produced RDF. We provide a numerical demonstration, discuss the uncertainties and correlations in the RDFs, and suggest a regularization parameter choice criterion. The approach is also applicable for … Show more

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Cited by 3 publications
(10 citation statements)
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“…In particular, here, we used the regularized weighted LSSA (rwLSSA) introduced in Ref. [68] (see details in Appendix C). The rwLSSA spectrum of delay range of −0.7 ≤ t pp < 30 ps for a frequency range of 0 < ω ≤ 7 THz is shown in Figure 12.…”
Section: Treatment Of the Data With Coherent Oscillationsmentioning
confidence: 99%
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“…In particular, here, we used the regularized weighted LSSA (rwLSSA) introduced in Ref. [68] (see details in Appendix C). The rwLSSA spectrum of delay range of −0.7 ≤ t pp < 30 ps for a frequency range of 0 < ω ≤ 7 THz is shown in Figure 12.…”
Section: Treatment Of the Data With Coherent Oscillationsmentioning
confidence: 99%
“…The detailed derivation of the rwLSSA technique is provided in Ref. [68], focusing on the sine-FT. Here, we only outline the basic steps of the method for the general case of the FT.…”
Section: Supplementary Materialsmentioning
confidence: 99%
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