2019
DOI: 10.1016/j.icarus.2019.05.024
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Reflectance spectra of seven lunar swirls examined by statistical methods: A space weathering study

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Cited by 8 publications
(6 citation statements)
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“…Highly porous and fine-grained regolith often referred to as "fairy castle" (Hapke & van Horn 1963) is created by gardening of the regolith by micrometeorites and solar radiation (e.g., Hapke & van Horn 1963). This would, however, suggest that the magnetic field shields the surface also from micrometeorite impact, which is generally assumed to be not the case (e.g., Chrbolkova et al 2019), or that the high porosity of mature regolith is mainly caused by charged particles of the solar wind rather than by micrometeorites, which would be physically unintuitive.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Highly porous and fine-grained regolith often referred to as "fairy castle" (Hapke & van Horn 1963) is created by gardening of the regolith by micrometeorites and solar radiation (e.g., Hapke & van Horn 1963). This would, however, suggest that the magnetic field shields the surface also from micrometeorite impact, which is generally assumed to be not the case (e.g., Chrbolkova et al 2019), or that the high porosity of mature regolith is mainly caused by charged particles of the solar wind rather than by micrometeorites, which would be physically unintuitive.…”
Section: Discussionmentioning
confidence: 99%
“…Figure A.1e shows the mean spectrum of the region. The eigenvectors of the covariance matrix, the so-called principal components, contain information about trends in the data but are usually difficult to interpret in an intuitive way (e.g., Chrbolkova et al 2019). However, in this special case the first component, describing most of the variance in the data, can be interpreted to contain information about the 1 µm and 2 µm absorption bands (Fig.…”
Section: On-swirl Vs Off-swirl Spectral Trendsmentioning
confidence: 99%
“…This dimensionality reduction technique takes an m-dimensional cloud of points, where m is the number of wavelengths in the spectral data, and transforms it so that in the new orthogonal coordinate space the first coordinate (first principal component, PC1) corresponds to the direction in which the original cloud showed the greatest variance, the second coordinate (PC2) represents the direction with the second greatest variance, and so on. The new coordinate system usually does not have an exact physical meaning, but its usefulness has been proven in previous research: for example, for asteroid taxonomy based on PCA, see DeMeo et al (2009); for analysis of meteorite spectra, see Penttilä et al (2018); for research on the lunar magnetic anomalies, see Chrbolková et al (2019) and Kramer et al (2011); and for PCA applied to the spectra of galaxies, see Connolly & VanderPlas (2014).…”
Section: Principal Component Analysismentioning
confidence: 99%
“…The high-reflectance portion of lunar swirls closely resemble immature material in some ways, with similar bulk SMFe abundances, but differ in the abundance of the smallest scale particles (<15 nm), or nsFe abundances (Trang & Lucey, 2019;Chrbolková et al, 2019;Blewett et al, 2021a). This is interpreted to be the result of decreased solar wind weathering due to charged-particle deflection by swirl-associated MAs.…”
Section: Figurementioning
confidence: 85%