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Identifying and Characterizing Very Low-mass Spectral Blend Binaries with Machine Learning Methods

  • Authors: Juan Diego Draxl Giannoni, Malina Desai, Adam J. Burgasser, A. Camille Dunning, Christian Aganze, Luke McDermott, Christopher A. Theissen, Daniella C. Bardalez Gagliuffi

Juan Diego Draxl Giannoni et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 5.

Confusion matrices for each of the nine binary identification (BId) models examined in this study, comparing actual binary status (rows) with predicted binary status (columns). Numbers in each square panel indicate the fraction and number of templates corresponding to each condition, while the shading indicates the fraction along a row from 0% (white) to 100% (black).

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