Lens Model Accuracy in the Expected LSST Lensed AGN Sample

arXiv:2510.20778 · astro-ph.CO · Submitted 2025-10-23 · Read on arXiv

astro-ph.CO

Submitted: 2025-10-23

Updated: 2026-09-22

Code: https://github.com/swagnercarena/paltas

Terminology

• AGN — 99× in this paper · explained in 1 episode
• Accuracy — 26× in this paper · explained in 1 episode
• Distribution Shift — 26× in this paper · explained in 5 episodes
• Calibration — 16× in this paper · explained in 7 episodes
• Neural Posterior Estimation — 7× in this paper
• Neural posterior estimation (NPE) — 6× in this paper · explained in 2 episodes
• Bayesian Inference — 4× in this paper · explained in 5 episodes
• Forward modeling — 3× in this paper · explained in 2 episodes
• Gravitational Lensing — 3× in this paper · explained in 2 episodes
• Active Galactic Nuclei (AGN) — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Degeneracy — 2× in this paper · explained in 3 episodes
• Hierarchical Bayesian Inference — 2× in this paper
• Hubble Tension — 2× in this paper · explained in 9 episodes
• Normalizing Flow — 2× in this paper · explained in 3 episodes
• Normalizing Flows — 2× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Kullback-Leibler (KL) Divergence — 1× in this paper · explained in 3 episodes
• Legacy Survey of Space and Time — 1× in this paper
• Microlensing — 1× in this paper · explained in 2 episodes
• Non-Gaussianity — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Simulation Based Inference — 1× in this paper
• Simulation-based Inference — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Euclid Quick Data Release (Q1). LEMON -- Lens Modelling with Neural networks. Automated and fast modelling of Euclid gravitational lenses with a singular isothermal ellipsoid mass profile
• Status Report on the Chicago-Carnegie Hubble Program (CCHP): Measurement of the Hubble Constant Using the Hubble and James Webb Space Telescopes
• Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey
• Deep Residual Learning for Image Recognition
• DESI Strong Lens Foundry I: HST Observations and Modeling with GIGA-Lens
• Adam: A Method for Stochastic Optimization
• A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational Lens Detection and Modeling
• Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation
• Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference
• dolphin: A fully automated forward modeling pipeline powered by artificial intelligence for galaxy-scale strong lenses
• TDCOSMO 2025: Cosmological constraints from strong lensing time delays

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