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Lunar Geochemistry from X-Ray Line Flux Ratios Using CLASS on Chandrayaan-2

  • Authors: R. Kumar, Y. Rai, S. Srijan, A. Bansal, Ameya V. Singh, A. Kumar, H. Mhatre, M. Goyal, S. Swain, S. Patidar, Aditya P. Saikia, A. Ahmad, S. Narendranath, Netra S. Pillai, R. Kashyap, V. Bhalerao

R. Kumar et al 2026 The Planetary Science Journal 7 .

  • Provider: AAS Journals

Caption: Figure 8.

Lunar geochemical classification using Gaussian mixture models (GMMs) on CLASS XRF line-intensity ratios. In all maps, black contours represent mare boundaries from LROC data. Left panels show the 2D density distributions and GMM cluster assignments; right panels show the corresponding spatial distribution on a global Mercator projection. Top row: three-component GMM applied to ﹩{{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Al}}}﹩ versus ﹩{{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Mg}}}﹩ identifying the primary dichotomy between the basaltic maria (orange), and the feldspathic highlands (green), along with some transitional regions (blue) outlining the maria and the South Pole–Aitken Basin. Middle row: five-component GMM of ﹩{{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Al}}}﹩ versus ﹩{{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Mg}}}﹩, further resolving geochemical subunits and mixing zones. Bottom row: five-component GMM applied to the distribution of the Mg# proxy derived from ﹩({{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Mg}}}/[{{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Mg}}}+{{ \mathcal R }}_{{\rm{Si}}\,}^{\,{\rm{Fe}}}])﹩ versus Al/Si, grouping Mare Moscoviense, Mare Australe, Mare Marginis, and Mare Smythii separately from the larger nearside basins.

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