FPCA-Enhanced Simulation-Based Inference for Robust Type Ia Supernova Cosmology

arXiv:2609.30312 · astro-ph.IM, astro-ph.CO · Submitted 2026-09-23 · Read on arXiv

astro-ph.IM, astro-ph.CO

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Mixture Density Network — 9× in this paper
• Simulation-based Inference — 7× in this paper · explained in 2 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Latent Space — 5× in this paper · explained in 7 episodes
• Functional Principal Component Analysis — 4× in this paper
• Latent Representation — 4× in this paper · explained in 2 episodes
• Neural Posterior Estimation — 4× in this paper
• Robustness — 4× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Sequential Neural Posterior Estimation — 3× in this paper
• Simulation-Based Inference (SBI) — 3× in this paper · explained in 3 episodes
• Unified Framework — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Forward modeling — 2× in this paper · explained in 2 episodes
• Masked Autoencoder for Distribution Estimation — 2× in this paper
• Masked Autoregressive Flow — 2× in this paper
• Metallicity — 2× in this paper · explained in 3 episodes
• Multi-Layer Perception — 2× in this paper
• Neural Likelihood Estimation — 2× in this paper
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Neural posterior estimation (NPE) — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Sequential Neural Likelihood Estimation — 1× in this paper
• Sequential Neural Ratio Estimation — 1× in this paper
• Systematic Bias — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s
• FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology
• Distance measures in cosmology
• The K correction
• CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry
• LSST Science Book, Version 2.0
• Non-linear Least Squares Fitting in IDL with MPFIT
• A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification
• An FPCA-enhanced Ensemble Learning Framework for Photometric Identification of Type Ia Supernovae
• A Reference Survey for Supernova Cosmology with the Nancy Grace Roman Space Telescope
• Validating Bayesian Inference Algorithms with Simulation-Based Calibration
• SBI -- A toolkit for simulation-based inference

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