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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 4.

Effect of fine-tuning sample size (0, 100, 200, 500, 1000, and 2069, where zero denotes zero-shot performance), evaluated on the testing sample. Shown are R2 and the robustly estimated standard deviation of the residuals (σ) for [Fe/H] and [α/Fe], obtained after fine-tuning (residual-head fine-tuning for [Fe/H] and LoRA fine-tuning for [α/Fe]). For both metrics, we plot the mean and 1σ error bars from five independent runs. The scatterplots for the different sample sizes are shown in Figures A1 and A2.

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