Topological data analysis for the string landscape

DOI10.1007/JHEP03(2019)054zbMath1414.83083arXiv1812.06960OpenAlexW2904411115WikidataQ128251930 ScholiaQ128251930MaRDI QIDQ2421072

Gary Shiu, Alex Cole

Publication date: 8 June 2019

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

Full work available at URL: https://arxiv.org/abs/1812.06960

zbMATH Keywords

persistent homologysuperstring vacuaflux compactifications

Mathematics Subject Classification ID

String and superstring theories in gravitational theory (83E30) Calabi-Yau manifolds (algebro-geometric aspects) (14J32) String and superstring theories; other extended objects (e.g., branes) in quantum field theory (81T30) Topological field theories in quantum mechanics (81T45) Homology of classifying spaces and characteristic classes in algebraic topology (55R40)

Related Items (12)

Brain webs for brane webs ⋮ Data science applications to string theory ⋮ Persistent homology of collider observations: when (w)hole matters ⋮ Flux vacua of the mirror octic ⋮ Towards the “Shape” of Cosmological Observables and the String Theory Landscape with Topological Data Analysis ⋮ On flux vacua and modularity ⋮ Searching the landscape of flux vacua with genetic algorithms ⋮ Algorithmically solving the tadpole problem ⋮ Branes with brains: exploring string vacua with deep reinforcement learning ⋮ Leaving the Swampland: non-geometric fluxes and the distance conjecture ⋮ Learning to inflate. A gradient ascent approach to random inflation ⋮ Accessibility measure for eternal inflation: dynamical criticality and higgs metastability

Uses Software

• javaPlex

Cites Work

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