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Atmospheric retrievals (AR) characterize exoplanets by estimating atmospheric parameters from observed light spectra, typically by framing the task as a Bayesian inference problem.
Bayesian Estimates of Equation System Parameters: An Application of Integration by Monte Carlo
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On the radiative equilibrium of irradiated planetary atmospheres
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X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue
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Variational Inference with Normalizing Flows
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corner.py: Scatterplot matrices in Python
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Fast ϵ \epsilon -free Inference of Simulation Models with Bayesian Conditional Density Estimation
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SpectRes: A Fast Spectral Resampling Tool in Python
Carnall, A. C. 2017 · 2017
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Decoupled Weight Decay Regularization
Loshchilov, I.; and Hutter, F. 2017 · 2017
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torchdiffeq
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Neural Ordinary Differential Equations
Chen, R. T. Q.; Rubanova, Y.; Bettencourt, J.; et al. 2018 · 2018
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Atmospheric Retrieval of Exoplanets
Madhusudhan, N. 2018 · 2018
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Supervised machine learning for analysing spectra of exoplanetary atmospheres
Márquez-Neila, P.; Fisher, C.; Sznitman, R.; and Heng, K. 2018 · 2018
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Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Soboczenski, F.; Himes, M. D.; O’Beirne, M. D.; Zorzan, S.; Baydin, A. G.; Cobb, A. D.; Gal, Y.; Angerhausen, D.; Mascaro, M.; Arney, G. N.; and Domagal-Goldman, S. D. 2018 · 2018
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ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks
Zingales, T.; and Waldmann, I. P. 2018 · 2018
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An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval
Cobb, A. D.; Himes, M. D.; Soboczenski, F.; Zorzan, S.; O’Beirne, M. D.; Baydin, A. G.; Gal, Y.; Domagal-Goldman, S. D.; Arney, G. N.; and and, D. A. 2019 · 2019
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Neural Spline Flows
Durkan, C.; Bekasov, A.; Murray, I.; and Papamakarios, G. 2019 · 2019
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petitRADTRANS: a Python radiative transfer package for exoplanet characterization and retrieval
Mollière, P.; Wardenier, J. P.; van Boekel, R.; Henning, T.; Molaverdikhani, K.; and Snellen, I. A. G. 2019 · 2019
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paszke, A.; Gross, S.; Massa, F.; et al. 2019 · 2019
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Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
Cuturi, M.; Meng-Papaxanthos, L.; Tian, Y.; Bunne, C.; Davis, G.; and Teboul, O. 2022 · 2022
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Accurate Machine-learning Atmospheric Retrieval via a Neural-network Surrogate Model for Radiative Transfer
Himes, M. D.; Harrington, J.; Cobb, A. D.; Baydin, A. G.; Soboczenski, F.; O’Beirne, M. D.; Zorzan, S.; Wright, D. C.; Scheffer, Z.; Domagal-Goldman, S. D.; and Arney, G. N. 2022 · 2022
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Flow Matching for Generative Modeling
Lipman, Y.; Chen, R. T. Q.; Ben-Hamu, H.; et al. 2022 · 2022
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Large Interferometer For Exoplanets (LIFE): I. Improved exoplanet detection yield estimates for a large mid-infrared space-interferometer mission
Quanz, S. P.; Ottiger, M.; Fontanet, E.; et al. 2022 · 2022
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To Sample or Not To Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalising Flows
Yip, K. H.; Changeat, Q.; Al-Refaie, A.; and Waldmann, I. 2022 · 2022
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Cranmer, K.; Brehmer, J.; and Louppe, G. 2020 · 2020
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Interpreting High-resolution Spectroscopy of Exoplanets using Cross-correlations and Supervised Machine Learning
Fisher, C.; Hoeijmakers, H. J.; Kitzmann, D.; Márquez-Neila, P.; Grimm, S. L.; Sznitman, R.; and Heng, K. 2020 · 2020
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Array programming with NumPy
Harris, C. R.; Millman, K. J.; van der Walt, S. J.; et al. 2020 · 2020
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Retrieving scattering clouds and disequilibrium chemistry in the atmosphere of HR 8799e
Mollière, P.; Stolker, T.; Lacour, S.; Otten, G. P. P. L.; Shangguan, J.; Charnay, B.; Molyarova, T.; Nowak, M.; Henning, T.; Marleau, G.-D.; Semenov, D. A.; van Dishoeck, E.; Eisenhauer, F.; Garcia, P.; Garcia Lopez, R.; Girard, J. H.; Greenbaum, A. Z.; Hinkley, S.; Kervella, P.; Kreidberg, L.; Maire, A.-L.; Nasedkin, E.; Pueyo, L.; Snellen, I. A. G.; Vigan, A.; Wang, J.; de Zeeuw, P. T.; and Zurlo, A. 2020 · 2020
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dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences
Speagle, J. S. 2020 · 2020
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SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P.; Gommers, R.; Oliphant, T. E.; et al. 2020 · 2020
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Peeking inside the Black Box: Interpreting Deep-learning Models for Exoplanet Atmospheric Retrievals
Yip, K. H.; Changeat, Q.; Nikolaou, N.; Morvan, M.; Edwards, B.; Waldmann, I. P.; and Tinetti, G. 2021 · 2021
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Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows
Aubin, M.; Cuesta-Lazaro, C.; Tregidga, E.; et al. 2023 · 2023
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Future NASA scope would find life on alien worlds
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Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model
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Neural posterior estimation for exoplanetary atmospheric retrieval
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