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A landscape of orientifold vacua

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arxiv 2003.04902 v2 pith:M27QNPZD submitted 2020-03-10 hep-th hep-ph

classification hep-thhep-ph
keywords orientifoldscicyconifoldlandscapeorientifoldthreefoldstopologicaltransitions
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abstract

We present a vast landscape of O3/O7 orientifolds that descends from the famous set of complete intersection Calabi-Yau threefolds (CICY). We give distributions of topological data relevant for phenomenology such as the orientifold-odd Hodge numbers, the D3-tadpole, and multiplicities of O3 and O7-planes. Somewhat surprisingly, almost all of these orientifolds have conifold singularities whose deformation branches are projected out by the orientifolding. However, they can be resolved, so most of the orientifolds actually descend from a much larger and possibly new set of CY threefolds that can be reached from the CICYs via conifold transitions. We observe an interesting class of $\mathcal{N}=1$ geometric transitions involving colliding O-planes. Finally, as an application, we use our dataset to produce examples of orientifolds that satisfy the topological requirements for the existence of ultra-light throat axions (\textit{thraxions}) as proposed in \cite{Hebecker:2018yxs}. The database can be accessed at https://www.desy.de/~westphal/orientifold_webpage/cicy_orientifolds.html

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Cited by 3 Pith papers

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  1. Warped Numerical Calabi-Yau Metrics

    hep-th 2026-07 conditional novelty 7.0 of 10

    First numerical GKP warped Type IIB flux background on a Dwork quintic, giving a 0.5% throat-volume estimate near the conifold and new metric/harmonic-form/warp-factor techniques.

  2. On Calabi-Yau Threefolds For Unified LVS Inflation

    hep-th 2026-06 unverdicted novelty 6.0 of 10

    A database scan identifies 2+14+45 Calabi-Yau threefolds with specified fibration and divisor structures that unify three LVS Kähler moduli inflation models.

  3. Machine Learning Free Quotients of CICYs

    hep-th 2025-08 conditional novelty 6.0 of 10

    Machine-learning classifiers, especially a multi-head attention model, correctly identify almost all free Z2, Z3, Z4, and Z2xZ2 quotients of CICYs on held-out manifolds, with only three missed Z2xZ2 cases.

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