A Bayesian Inference Framework for Binary Lens Events Fully Incorporating Higher-Order Effects

arXiv:2609.36673 · astro-ph.EP, astro-ph.GA, astro-ph.IM · Submitted 2026-09-29 · Read on arXiv

astro-ph.EP, astro-ph.GA, astro-ph.IM

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/NunotaKansuke/gapmoe

Terminology

• Microlensing — 58× in this paper · explained in 2 episodes
• Bayesian Inference — 9× in this paper · explained in 5 episodes
• Bayesian Framework — 5× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Generative Model — 2× in this paper · explained in 2 episodes
• Anisotropy — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Initial Mass Function (IMF) — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Population Synthesis — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Galactic microlensing with rotating binaries
• Variational Inference with Normalizing Flows
• On the Reparameterization Between Cartesian Position-Velocity Vectors and Orbital Elements in the Kepler Problem
• microJAX: A Differentiable Framework for Microlensing Modeling with GPU-Accelerated Image-Centered Ray Shooting

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