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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 8.

Same as Figure 7, but for mass-weighted global metallicity, [M/H]. Each panel compares the input metallicity (x-axis) with the value recovered by PPXF (y-axis) from the noisy (top row) and denoised (bottom row) spectra. Colors show the logarithmic number density, and the diagonal line indicates the one-to-one relation. Columns correspond to S/N = 5, 10, and 20 (left to right). Each panel reports the Pearson correlation coefficient, Rp, and the rms difference, rms(Y − X), in dex.

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