2021
DOI: 10.5281/zenodo.5082777
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hyperspy/hyperspy: Release v1.6.4

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Cited by 9 publications
(4 citation statements)
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“…[35] The resulting spectra were extracted using the HyperSpy python package and denoised using principle component analysis (PCA), retaining only the first four components, which accounted for 96.8% of the variance. [36]…”
Section: Methodsmentioning
confidence: 99%
“…[35] The resulting spectra were extracted using the HyperSpy python package and denoised using principle component analysis (PCA), retaining only the first four components, which accounted for 96.8% of the variance. [36]…”
Section: Methodsmentioning
confidence: 99%
“…Representative line scans for each sample were selected based on the roomtemperature ensemble PL spectra. The CL data was analyzed and visualized using the python packages HyperSpy and LumiSpy [29,30].…”
Section: Methodsmentioning
confidence: 99%
“…The resulting spectrum images were analysed using HyperSpy. 34 Briefly, the zero-loss peak was aligned to 0 eV, along with shifting the core-loss spectrum for each pixel. Then Mn L-edge was fitted at each pixel with: (i) a power law background, (ii) two Hartree–Slater generalised-oscillator-strength based ionisation edges, (iii) two Gaussian peaks (for the L 3 and L 2 white line peaks), and (iv) their convolution with the low-loss spectrum to account for the sample thickness.…”
Section: Methodsmentioning
confidence: 99%