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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 2.

Example of a synthetic binary template with S/N = 116 (black line), constructed from an S/N = 124 L5 dwarf spectrum (magenta line) and an S/N = 99 T5 dwarf spectrum (blue line). The fluxes of the single components are scaled relative to each other using the T. J. Dupuy & M. C. Liu (2012) MJ/spectral type relation, and to the combined spectrum, which is normalized between 1.20 and 1.35 μm. The uncertainty for the combined-light spectrum is shown as a dashed–dotted line, and the vertical gray bands indicate regions of strong telluric absorption.

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