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Generalization from Low- to Moderate-resolution Spectra with Neural Networks for Stellar Parameter Estimation: A Case Study with DESI

  • Authors: Xiaosheng Zhao, Yuan-Sen Ting, Rosemary F.G. Wyse, Alexander S. Szalay, Yang Huang, László Dobos, Tamás Budavári, Viska Wei

Xiaosheng Zhao et al 2026 The Astrophysical Journal 1006 .

  • Provider: AAS Journals

Caption: Figure B1.

Saliency maps of the output iron abundance with respect to the input spectra in the rest frame. The upper panel shows the median and 1σ dispersion of the normalized spectra for the testing metal-poor subset ([Fe/H]). The middle panel presents the saliency maps (absolute gradients; median and 1σ) for the residual-head fine-tuning, indicating the sensitivity of the output iron abundance to different spectral regions. The lower panel highlights selected spectral lines with prominent sensitivity, comparing all fine-tuning strategies and the zero-shot results. Lines (from A. Kramida et al. 2024) corresponding to major spikes are shown in gray (iron) and red (noniron) in the upper and middle panels, and selectively plotted in the lower panel.

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