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A Convolutional Neural Network–Transformer Denoiser for Low-signal-to-noise-ratio Galaxy Spectra: Stellar Population Recovery in Synthetic Tests

  • Authors: Suk Kim, Joon Hyeop Lee, Soo-Chang Rey

Suk Kim et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 5.

Example of absorption-line recovery at input S/N = 5 and 10. Columns correspond to six diagnostic features: Ca II H, Hδ, Fe I 4383, Hβ, Mg b, and Na D. In each column, the upper panel overlays the noise-free spectrum (blue), the noisy inputs (red), and the denoised outputs (cyan). Solid lines represent S/N = 5, while dashed lines represent S/N = 10. The shaded regions mark the fixed wavelength windows used for quantitative analysis. The lower panel shows the residuals relative to the noise-free spectrum; the legend reports the RMS residual within the analysis window.

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