Inflation as an information bottleneck: a strategy for identifying universality classes and making robust predictions

DOI10.1007/JHEP05(2019)065zbMath1416.83152arXiv1810.05199OpenAlexW2897235491WikidataQ64297072 ScholiaQ64297072MaRDI QIDQ2315702

Jonathan Frazer, Mafalda Dias, Alexander Westphal

Publication date: 25 July 2019

Published in: Journal of High Energy Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1810.05199

zbMATH Keywords

flux compactificationscosmology of theories beyond the SM

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Nonparametric robustness (62G35) Relativistic cosmology (83F05) String and superstring theories in gravitational theory (83E30) Applications of statistics to physics (62P35) Perturbative methods of renormalization applied to problems in quantum field theory (81T15) Astrophysical cosmology (85A40) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Related Items

Curvature perturbations from stochastic particle production during inflation ⋮ De Sitter versus anti de Sitter flows and the (super)gravity landscape ⋮ Learning to inflate. A gradient ascent approach to random inflation ⋮ Stochastic particle production in a de Sitter background

Uses Software

• Scikit
• ITE
• GPy
• npeet
• GitHub

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