Abstract
We study the production of primordial magnetic fields in inflationary models in type IIB string theory where the role of the inflaton is played by a Kahler modulus. We consider various possibilities to realise the Standard Model degrees of freedom in this setting and explicitly determine the time dependence of the inflaton coupling to the Maxwell term in the models. Using this we determine the strength and scale dependence of the magnetic fields generated during inflation. The usual “strong coupling problem” for primordial magnetogenesis manifests itself by cycle sizes approaching the string scale; this appears in a certain class of fibre inflation models where the standard model is realised by wrapping D7-branes on cycles in the geometric regime.
Highlights
Cosmological observations have established a scale invariant and adiabatic spectrum for the inhomogeneities
It was realised that the generation of primordial magnetic fields during inflation provides a source for non-Gaussianities [19,20,21,22]
As mentioned in the introduction, the models of inflation we will discuss will be in the framework of the Large Volume Scenario (LVS) for moduli stabilisation [24, 25]
Summary
Cosmological observations have established a scale invariant and adiabatic spectrum for the inhomogeneities. Another important aspect is the nature of the coupling of the inflaton to the Standard Model; this can have various implications for observations In this context, one interesting phenomenon is the generation of primordial magnetic fields during inflation [1,2,3,4,5,6,7,8,9,10,11,12,13,14]. It was realised that the generation of primordial magnetic fields during inflation provides a source for non-Gaussianities [19,20,21,22] This occurs via a feedback mechanism, the electromagnetic fields produced act as a source term in the equation governing inflaton fluctuations. The study is apart of the broader goal to develop a systematic understanding of primordial magneto genesis in string models and see if this can serve as a distinguishing feature between various scenarios
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