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--- science_cases:dlr_science_case [2022/09/12 09:57] – admin
+++ science_cases:dlr_science_case [2022/10/20 14:25] (current) – admin
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    * Bland, P. Crater counting. Astronomy & Geophysics, 44(4):4.21–4.21, August 2003. ISSN 1366-8781. doi: 10/dsw66x.
   * Denevi, B. W., et al., MESSENGER global color observations: Implications for the composition and evolution of Mercury’s crust. In Lunar and Planetary Science Conference, pages 1–2, 2009.
-  * Hamilton et al., Mineralogy of Martian atmospheric dust inferred from thermal infrared spectra of aerosols. Journal of Geophysical Research, 110(E12):1–11, 2005. ISSN 0148-0227. doi: 10/bhsb7j.
+  * Hamilton et al., Mineralogy of Martian atmospheric dust inferred from thermal infrared spectra of aerosols. Journal of Geophysical Research, 110(E12), E12006, 2005. doi: 10.1029/2005JE002501.
-  * Helbert et al., Visible and near-infrared reflectance spectra of thermally processed synthetic sulfides as a potential analog for the hollow forming materials on Mercury. Earth and Planetary Science Letters, 369-370:233–238, May 2013. ISSN 0012821X. doi: 10/gbddt9.
+  * Helbert et al., Visible and near-infrared reflectance spectra of thermally processed synthetic sulfides as a potential analog for the hollow forming materials on Mercury. Earth and Planetary Science Letters, 369-370:233–238, 2013. doi:10.1016/j.epsl.2013.03.045.
   * Kerr, R. A. Who Can Read the Martian Clock? Science, 312(5777):1132–1133, May 2006. ISSN 0036-8075, 1095-9203. doi: 10/b6v8tt.
   * McClintock, W. E. and Lankton, M. R. The mercury atmospheric and surface composition spectrometer for the MESSENGER mission. Space Science Reviews, 131(1-4):481–521, 2007. ISSN 00386308. doi: 10/btc6f6.
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 Thus, data artifacts, instrumental and photometric residual effects are all removed. The resulting data cube has several hundred features that are compressed via blind signal demixing with **Independent Component Analysis**  (ICA). Initial results show that four components reconstruct the original dataset within the measurement estimated error. The four features were embedded in a two-dimensional space via **Uniform Manifold Approximation and Projection**  (UMAP). No significant small-scale morphology was found after exploring UMAP hyperparameters.
-Finally, the 2D maps were partitioned with **hierarchical agglomerative clustering**. Dendrogram gap analysis shows a big gap between data partition in three and four clusters, and three clusters have been chosen as a significant data segregation. At this initial stage, the existence of two large and spectrally distinct regions have been found, which have been designated the polar spectral unit and the equatorial spectral unit.
+Finally, the 2D maps were partitioned with **[[:glossary#hierarchical_agglomerative_clustering|hierarchical agglomerative clustering]]** . Dendrogram gap analysis shows a big gap between data partition in three and four clusters, and three clusters have been chosen as a significant data segregation. At this initial stage, the existence of two large and spectrally distinct regions have been found, which have been designated the polar spectral unit and the equatorial spectral unit.
 The spatial extent of the polar unit in the northern hemisphere generally correlates well with that of the northern volcanic plains and partially to the surface highest temperature models in the equatorial region. This may indicate an interaction between mineral composition and structure and surface temperature, because Mercury reaches a diurnal temperature above 700 K. Chemical data spatial distribution from X-ray and Gamma ray spectrometers show no apparent correlation with the clusters. This could indicate that chemical composition produces no distinctive mineral phases for the instrument or that those phases were altered enough to be indistinguishable by the harsh space environment around Mercury. Further analysis indicates the presence of smaller sub-units that lie near the boundaries of these large regions and may be transitional areas of intermediate spectral characters.