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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 5.

Loss landscapes for different fine-tuning strategies, evaluated on the metal-poor regime of [Fe/H] (79 stars). The first row shows three-dimensional surfaces, and the second row shows two-dimensional contours of the logarithmic MSE loss, plotted as a function of perturbations around the pretrained model parameters along two random directions. The minimum losses are indicated in the color bar of the two-dimensional contours.

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