paper

A Cornucopia of AdS Vacua

arXiv:2003.03979 · doi:10.1007/JHEP07(2020)240

Abstract

We report on a systematic search for AdS vacua corresponding to critical points of the potential in the five-dimensional SO(6) gauged supergravity. By employing Google's TensorFlow Machine Learning library, we find the total of 32 critical points including 5 previously known ones. All 27 new critical points are non-supersymmetric. We compute the mass spectra of scalar fluctuatons for all points and find that the non-supersymmetric AdS vacua are perturbatively unstable. Many of the new critical points can be found analytically within consistent truncations of the supergravity with respect to discrete subgroups of the S(O(6) GL(2,)) symmetry of the potential. In particular, we discuss in detail a -invariant truncation with 10 scalar fields and 15 critical points. We also compute explicitly the scalar potential in a -invariant extension of that truncation to 18 scalar fields and reproduce 17 of the 32 critical points from the numerical search. Finally, we show that the full potential as a function of 42 scalar fields can be studied analytically using the so-called solvable parametrization. In particular, we find that all critical points lie in a -invariant subspace spanned by 22 scalar fields.

48 pages. v2: Corrections made and a new section added

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