Reconstruction of electron spectra using singular component decomposition

2002 ◽  
Vol 29 (4) ◽  
pp. 578-591 ◽  
Author(s):  
Alexei V. Chvetsov ◽  
George A. Sandison
Keyword(s):  
Electron Spectra ◽  
Singular Component ◽  
Component Decomposition

Low-Temperature Electron Spectra of Impurities in Naphtalene Crystals

2014 ◽  
Vol 59 (3) ◽  
pp. 209-214
Author(s):  
N.D. Curmei ◽  
◽  
G.V. Klishevich ◽  
V.I. Melnyk ◽  
◽  
...  
Keyword(s):  
Low Temperature ◽  
Electron Spectra ◽  
Temperature Electron

Morphology of NFA Organic Photovoltaic Blends by Automated Segmentation of Spatially Resolved Electron Spectra

2019 ◽  
Author(s):  
Jochen Kammerer ◽  
Rasum R. Schröder ◽  
Pavlo Perkhun ◽  
Olivier Margeat ◽  
Wolfgang Köntges ◽  
...  
Keyword(s):  
Organic Photovoltaic ◽  
Automated Segmentation ◽  
Electron Spectra ◽  
Spatially Resolved

Gaussian Component Decomposition and the Five-Component Profile of Pulsar 1451−68

1998 ◽  
Vol 116 (4) ◽  
pp. 1984-1991 ◽  
Author(s):  
Xinji Wu ◽  
Xueyan Gao ◽  
Joanna M. Rankin ◽  
Wen Xu ◽  
Valerij M. Malofeev
Keyword(s):  
Gaussian Component ◽  
Component Decomposition

scholarly journals Computational Study of the Electron Spectra of Vapor-Phase Indole and Four Azaindoles

Molecules ◽  
2021 ◽  
Vol 26 (7) ◽  
pp. 1947
Author(s):  
Delano P. Chong
Keyword(s):  
Density Functional Theory ◽  
Vapor Phase ◽  
Density Functional ◽  
Computational Study ◽  
Geometry Optimization ◽  
The Other ◽  
Functional Theory ◽  
Electron Spectra

After geometry optimization, the electron spectra of indole and four azaindoles are calculated by density functional theory. Available experimental photoemission and excitation data for indole and 7-azaindole are used to compare with the theoretical values. The results for the other azaindoles are presented as predictions to help the interpretation of experimental spectra when they become available.

scholarly journals Framework for Reconstruction of Pseudo Quad Polarimetric Imagery from General Compact Polarimetry

2021 ◽  
Vol 13 (3) ◽  
pp. 530
Author(s):  
Junjun Yin ◽  
Jian Yang
Keyword(s):  
Linear Equations ◽  
Estimation Method ◽  
Data Sets ◽  
Reconstruction Procedure ◽  
Component Decomposition ◽  
Reconstruction Methods ◽  
Sar Imagery ◽  
Key Aspects ◽  
Non Linear Equations ◽  
Reconstruction Model

Pseudo quad polarimetric (quad-pol) image reconstruction from the hybrid dual-pol (or compact polarimetric (CP)) synthetic aperture radar (SAR) imagery is a category of important techniques for radar polarimetric applications. There are three key aspects concerned in the literature for the reconstruction methods, i.e., the scattering symmetric assumption, the reconstruction model, and the solving approach of the unknowns. Since CP measurements depend on the CP mode configurations, different reconstruction procedures were designed when the transmit wave varies, which means the reconstruction procedures were not unified. In this study, we propose a unified reconstruction framework for the general CP mode, which is applicable to the mode with an arbitrary transmitted ellipse wave. The unified reconstruction procedure is based on the formalized CP descriptors. The general CP symmetric scattering model-based three-component decomposition method is also employed to fit the reconstruction model parameter. Finally, a least squares (LS) estimation method, which was proposed for the linear π/4 CP data, is extended for the arbitrary CP mode to estimate the solution of the system of non-linear equations. Validation is carried out based on polarimetric data sets from both RADARSAT-2 (C-band) and ALOS-2/PALSAR (L-band), to compare the performances of reconstruction models, methods, and CP modes.

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