24 citations · 25 across the 4 of their papers we have counts for
5 papers
Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Kai E. Yang, Xudong Sun, Lucas A. Tarr +9
Inferring the three-dimensional (3D) solar atmospheric structures from observations is a critical task for advancing our understanding of the magnetic fields and electric currents…
Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference
Linnea M Wolniewicz, Peter Sadowski, Claudio Corti
Bayesian inference methods such as Markov Chain Monte Carlo (MCMC) typically require repeated computations of the likelihood function, but in some scenarios this is infeasible and…
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images
Yannik Glaser, Justin E. Stopa, Linnea M. Wolniewicz +5
The European Space Agency's Copernicus Sentinel-1 (S-1) mission is a constellation of C-band synthetic aperture radar (SAR) satellites that provide unprecedented monitoring of the…
MO0NFALL: The Great Filter and Exo-Moon Occurrence
Casey Brinkman, Keyan Gootkin, Rena A. Lee +3
We observe neither life beyond Earth, nor moons around exoplanets, despite the prevalence of Earth-like planets across the galaxy. We suggest Moonfall as a possible mechanism to ex…
The Stars Kepler Missed: Investigating the Kepler Target Selection Function Using Gaia DR2
Linnea M. Wolniewicz, Travis A. Berger, Daniel Huber
The Kepler Mission revolutionized exoplanet science and stellar astrophysics by obtaining highly precise photometry of over 200,000 stars over 4 years. A critical piece of informat…