Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks

arXiv:2602.10330 · astro-ph.EP, astro-ph.IM, cs.LG · Submitted 2026-02-10 · Read on arXiv

astro-ph.EP, astro-ph.IM, cs.LG

Submitted: 2026-02-10

Updated: 2026-09-28

Code: https://github.com/D4san/gdaespec

Terminology

• Abundance — 11× in this paper · explained in 1 episode
• Transmission spectroscopy — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Epistemic Uncertainty — 6× in this paper · explained in 9 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Spectral Signature — 4× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• James Webb Space Telescope — 3× in this paper
• Latent Representation — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Aleatoric Uncertainty — 2× in this paper · explained in 4 episodes
• Monte Carlo dropout — 2× in this paper · explained in 2 episodes
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Normalizing Flows — 2× in this paper · explained in 4 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Over-smoothing — 1× in this paper · explained in 4 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

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