2008
DOI: 10.1088/1475-7516/2008/10/008
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Conditions for large non-Gaussianity in two-field slow-roll inflation

Abstract: We study the level of primordial non-Gaussianity in slow-roll two-field inflation. Using an analytic formula for the nonlinear parameter fNL in the case of a sum or product separable potential, we find that it is possible to generate significant non-Gaussianity even during slow-roll inflation with Gaussian perturbations at Hubble exit. In this paper we give the general conditions to obtain large non-Gaussianity and calculate the level of fine-tuning required to obtain this. We present explicit models in which … Show more

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Cited by 124 publications
(159 citation statements)
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References 66 publications
(136 reference statements)
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“…al. [48]. The benefit of our variant of these same conditions is that our version shows that the amplitude of the isocurvature modes at the end of inflation and their sensitivity to perturbations in the classical trajectory are what determines whether non-Gaussianity has any chance of being large.…”
Section: Conditions For Large |Fnl|mentioning
confidence: 92%
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“…al. [48]. The benefit of our variant of these same conditions is that our version shows that the amplitude of the isocurvature modes at the end of inflation and their sensitivity to perturbations in the classical trajectory are what determines whether non-Gaussianity has any chance of being large.…”
Section: Conditions For Large |Fnl|mentioning
confidence: 92%
“…Here, the approximately 50-fold difference in the total sourcing stems more from the difference in the turn rates for the two trajectories, which both possess large isocurvature modes. Interestingly, the trajectory that rolls along the ridge (solid lines) produces |fNL| ∼ 10 2 , while the neighboring trajectory (dashed lines) corresponds to |fNL| ≈ 1 [48], visually illustrating the role of fine-tuning in achieving large non-Gaussianity.…”
Section: Conditions For Large |Fnl|mentioning
confidence: 99%
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“…Whilst Eqs. (22)(23) are equivalent to Eqs. (17)(18), they possess significant computational advantages over the former since they involve lower order δN derivatives which are relatively easier to compute in general compared to higher order ones.…”
Section: The δN Formalismmentioning
confidence: 99%