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A Systematic Approach to K\"ahler Moduli Stabilisation

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arxiv 2005.11329 v1 pith:LKNT6YRD submitted 2020-05-22 hep-th

classification hep-th
keywords moduliahlercyclegeneralotherpotentialcomputationalfact
verification ladder T0 review T1 audit T2 compute T3 formal
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Achieving full moduli stabilisation in type IIB string compactifications for generic Calabi-Yau threefolds with hundreds of K\"ahler moduli is notoriously hard. This is due not just to the very fast increase of the computational complexity with the number of moduli, but also to the fact that the scalar potential depends in general on the supergravity variables only implicitly. In fact, the supergravity chiral coordinates are 4-cycle volume moduli but the K\"ahler potential is an explicit function of the 2-cycle moduli and inverting between these two variables is in general impossible. In this paper we propose a general method to fix all type IIB K\"ahler moduli in a systematic way by working directly in terms of 2-cycle moduli: on one side we present a `master formula' for the scalar potential which can depend on an arbitrary number of K\"ahler moduli, while on the other we perform a computer-based search for critical points, introducing a hybrid Genetic/Clustering/Amoeba algorithm and other computational techniques. This allows us to reproduce several known minima, but also to discover new examples of both KKLT and LVS models, together with novel classes of LVS minima without diagonal del Pezzo divisors and hybrid vacua which share some features with KKLT and other with LVS solutions.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. New Type IIB Poly-instanton Effects and Axion Quintessence

    hep-th 2026-07 conditional novelty 7.0 of 10

    Deformation divisors can generate poly-instanton superpotential terms in type IIB Calabi-Yau orientifolds when O3-planes lie on the E3-brane, with explicit CY examples and an axion-quintessence construction matching t...

  2. Machine Learning the 6d Supergravity Landscape

    hep-th 2025-05 conditional novelty 6.0 of 10

    An autoencoder and two neural classifiers, trained only on anomaly Gram matrices, provide automated clustering, outlier detection, and consistency predictions for millions of 6d supergravity building blocks.

  3. Coexisting Flux String Vacua from Numerical K\"ahler Moduli Stabilisation

    hep-th 2025-07 conditional novelty 5.0 of 10

    Numerical scans of Type IIB compactifications find single scalar potentials containing coexisting KKLT/LVS and Kahler-uplifted/LVS minima, including AdS, Minkowski, and dS pairs.

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