Analytic auto-differentiable ΛCDM cosmography

DOI10.1088/1475-7516/2023/07/065arXiv2212.01937OpenAlexW4385351583MaRDI QIDQ6175028

Unnamed Author

Publication date: 17 August 2023

Published in: Journal of Cosmology and Astroparticle Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2212.01937

zbMATH Keywords

machine learningstandard candles\(\Lambda\) CDM modelsupernova type Ia

Mathematics Subject Classification ID

Relativistic cosmology (83F05) Computational methods for problems pertaining to relativity and gravitational theory (83-08)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Numerical computation of real or complex elliptic integrals
• The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
• Complete solutions to the metric of spherically collapsing dust in an expanding spacetime with a cosmological constant
• An introduction to variational methods for graphical models
• Toward symbolic integration of elliptic integrals
• Automatic reduction of elliptic integrals using Carlson's relations
• A table of elliptic integrals of the third kind
• A Table of Elliptic Integrals: Cubic Cases
• Elliptic integrals for cosmological constant cosmologies
• The frontier of simulation-based inference
• Mining gold from implicit models to improve likelihood-free inference
• Rethinking data-driven point spread function modeling with a differentiable optical model

This page was built for publication: Analytic auto-differentiable ΛCDM cosmography