Author:
Bobev Nikolay,Fischbacher Thomas,Gautason Fridrik Freyr,Pilch Krzysztof
Abstract
Abstract
We report on a systematic search for AdS5 vacua corresponding to critical points of the potential in the five-dimensional $$ \mathcal{N} $$
N
= 8 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 AdS5 vacua are perturbatively unstable. Many of the new critical points can be found analytically within consistent truncations of the $$ \mathcal{N} $$
N
= 8 supergravity with respect to discrete subgroups of the S(O(6) × GL(2, ℝ)) symmetry of the potential. In par- ticular, we discuss in detail a $$ {\mathrm{\mathbb{Z}}}_2^3 $$
ℤ
2
3
-invariant truncation with 10 scalar fields and 15 critical points. We also compute explicitly the scalar potential in a $$ {\mathrm{\mathbb{Z}}}_2^2 $$
ℤ
2
2
-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 ℤ2-invariant subspace spanned by 22 scalar fields.
Publisher
Springer Science and Business Media LLC
Subject
Nuclear and High Energy Physics
Cited by
24 articles.
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