From 6D superconformal field theories to dynamic gauged linear sigma models

Compactifications of six-dimensional (6D) superconformal field theories (SCFTs) on four- manifolds generate a large class of novel two-dimensional (2D) quantum field theories. We consider in detail the case of the rank-one simple non-Higgsable cluster 6D SCFTs. On the tensor branch of these theories...

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Veröffentlicht in:Physical review. D 2017-09, Vol.96 (6), Article 066015
Hauptverfasser: Apruzzi, Fabio, Hassler, Falk, Heckman, Jonathan J., Melnikov, Ilarion V.
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container_title Physical review. D
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creator Apruzzi, Fabio
Hassler, Falk
Heckman, Jonathan J.
Melnikov, Ilarion V.
description Compactifications of six-dimensional (6D) superconformal field theories (SCFTs) on four- manifolds generate a large class of novel two-dimensional (2D) quantum field theories. We consider in detail the case of the rank-one simple non-Higgsable cluster 6D SCFTs. On the tensor branch of these theories, the gauge group is simple and there are no matter fields. For compactifications on suitably chosen Kähler surfaces, we present evidence that this provides a method to realize 2D SCFTs with N=(0,2) supersymmetry. In particular, we find that reduction on the tensor branch of the 6D SCFT yields a description of the same 2D fixed point that is described in the UV by a gauged linear sigma model (GLSM) in which the parameters are promoted to dynamical fields, that is, a “dynamic GLSM” (DGLSM). Consistency of the model requires the DGLSM to be coupled to additional non-Lagrangian sectors obtained from reduction of the antichiral two-form of the 6D theory. These extra sectors include both chiral and antichiral currents, as well as spacetime filling noncritical strings of the 6D theory. For each candidate 2D SCFT, we also extract the left- and right-moving central charges in terms of data of the 6D SCFT and the compactification manifold.
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subjects Quantum theory
Reduction
String theory
Supersymmetry
Tensors
title From 6D superconformal field theories to dynamic gauged linear sigma models
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