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A Calibrated Bayesian Search for Potential Chemical Technosignatures in Polluted White Dwarfs

  • Authors: Bo-Lun Huang, 博伦 黄, Zhen-Zhao Tao, 振钊 陶, Tong-Jie Zhang, 同杰 张

Bo-Lun Huang et al 2026 The Astrophysical Journal 1006 .

  • Provider: AAS Journals

Caption: Figure 1.

Natural composition structure in ratio space (meteorites) with white dwarf overlay. Principal component analysis (PCA) projection of Ca-referenced log-ratio vectors derived from whole-rock meteorite analyses, colored by broad meteorite class (chondrite, achondrite, and other). Gray points show polluted WDs with ﹩{N}_{{\rm{\det }}}\geqslant 3﹩ projected into the same standardized ratio space. Missing dimensions are median-imputed for visualisation only; the likelihood analysis itself marginalizes missingness directly. Axes show the first two principal components with explained variance ratios (EVR). The nonunimodal meteorite support and the fact that most WD projections lie within this broad natural-composition envelope.

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