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Ultracool dwarf Science with MachIne LEarning (USMILE). I. Scalable Tree-based Models for Photometric Spectral Classification and New Discoveries from LSST Data Preview 1 and Euclid Quick Data Release 1

  • Authors: Zhoujian Zhang, 周健 张, Yanxia Li, 燕侠 李

Zhoujian Zhang et al 2025 The Astronomical Journal 170 .

  • Provider: AAS Journals

Caption: Figure 11.

Top panel: the iLSST − yLSST and zLSST − yLSST colors for the positive (colored) and negative (gray) samples in our labeled data set, with positive samples color-coded by spectral types. The 15 ultracool dwarf discoveries confirmed with Euclid spectroscopy are shown as orange stars (Section 6). For objects lacking high-S/N Euclid spectra, we identify 25 high-quality candidates based on our USMILE models, shown as blue stars (Section 7). The remaining rejected candidates are shown as black circles. Bottom panel: the zLSST − yLSST and yLSST − HVHS colors for objects plotted in the top panel.

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