Image Details

Choose export citation format:

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 3.

[α/Fe]–[Fe/H] diagrams for DESI EDR and APOGEE reference sample. From left to right: (1) DESI SP: DESI SP pipeline, (2) MLP-Scratch: MLP trained from scratch on the same number of DESI spectra used for fine-tuning, (3) MLP-LRS: MLP pretrained on LAMOST LRS (zero-shot application), (4) MLP-LRS (fine-tuned): MLP pretrained on LAMOST LRS and fine-tuned with DESI spectra, and (5) APOGEE: DESI DR1–APOGEE DR17 crossmatched sample (7608 stars). The first row shows raw counts, and the second row shows column-normalized densities, where each [Fe/H] column is divided by its maximum count. The legend reports the maximum mean discrepancy (MMD) between each sample and the APOGEE reference.

Other Images in This Article

Show More

Copyright and Terms & Conditions

Additional terms of reuse