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- Jönsson, Per, et al.
(författare)
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A program for computing weak and intermediate field Zemman splittings from MCHF wave functions
- 2002
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Ingår i: Computer Physics Communications. - : Elsevier. - 0010-4655 .- 1879-2944. ; 144:2, s. 188-199
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Tidskriftsartikel (refereegranskat)abstract
- Given electronic wave functions generated by the MCHF_CI program (LSJ format), this program calculates diagonal Landé g factors that determine separations of magnetic sublevels in weak external magnetic fields. In addition the program computes off-diagonal Landé g factors and constructs the total interaction matrix for an atom in a magnetic field. By diagonalizing the interaction matrix and plotting the eigenvalues as functions of the magnetic field, Zeeman structures beyond the weak field limit are obtained.
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| 2. |
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| 3. |
- Jönsson, Per, et al.
(författare)
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TIMESAT - a program for analyzing time-series of satellite sensor data
- 2004
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Ingår i: Computers & Geosciences. - : Elsevier BV. - 1873-7803 .- 0098-3004. ; 30:8, s. 833-845
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Tidskriftsartikel (refereegranskat)abstract
- Three different least-squares methods for processing time-series of satellite sensor data are presented. The first method uses local polynomial functions and can be classified as an adaptive Savitzky-Golay filter. The other two methods are more clear cut least-squares methods, where data are fit to a basis of harmonic functions and asymmetric Gaussian functions, respectively. The methods incorporate qualitative information on cloud contamination from ancillary datasets. The resulting smooth curves are used for extracting seasonal parameters related to the growing seasons. The methods are implemented in a computer program, TIMESAT, and applied to NASA/NOAA Pathfinder AVHRR Land Normalized Difference Vegetation Index data over Africa, giving spatially coherent images of seasonal parameters such as beginnings and ends of growing seasons, seasonally integrated NDVI and seasonal amplitudes. Based on general principles, the TIMESAT program can be used also for other types of satellite-derived time-series data.
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