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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 11.

Application of BId1 and BClass1 models for known binaries with SpeX spectral observations (Table 8). The left panel compares primary classifications, the right panel compares secondary classifications. Both panels map individual sources to their reported primary and secondary component types, with those correctly identified as a binary by the BId1 model indicated by large black circles. The color shading indicates the difference between the predicted and reported component types. We also highlight the component type spaces relevant to the B10 (solid line box) and B14 (dashed line box) index classification methods.

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