Correcting stellar contamination in transmission spectroscopy with contemporaneous monitoring: Application to GJ 1214 b

arXiv:2609.35721 · astro-ph.EP, astro-ph.IM · Submitted 2026-09-28 · Read on arXiv

astro-ph.EP, astro-ph.IM

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/dbarochlopez/starsim

Project page: https://lkreidberg.github.io/batman

Terminology

• Transmission spectroscopy — 25× in this paper · explained in 2 episodes
• Calibration — 19× in this paper · explained in 7 episodes
• Clustering — 7× in this paper · explained in 2 episodes
• Active Regions — 6× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Degeneracy — 5× in this paper · explained in 3 episodes
• Aperture — 4× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Monte Carlo dropout — 3× in this paper · explained in 2 episodes
• Aperture Photometry — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Empirical Coverage — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• James Webb Space Telescope — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• European Research Council — 1× in this paper
• Hubble Space Telescope — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Magnetohydrodynamics (MHD) — 1× in this paper · explained in 3 episodes
• Metallicity — 1× in this paper · explained in 3 episodes
• Society of PhotoOptical Instrumentation Engineers — 1× in this paper
• Temporal Correlations — 1× in this paper · explained in 2 episodes

Sources

• TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
• Optuna: A Next-generation Hyperparameter Optimization Framework
• SpectRes: A Fast Spectral Resampling Tool in Python
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
• Adam: A Method for Stochastic Optimization
• Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
• A Panchromatic JWST Spectrum of a Giant Starspot on the Fully Convective M-dwarf TOI-3884
• Attention Is All You Need

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