2015
DOI: 10.1103/physrevd.91.123518
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Looking for non-Gaussianity in all the right places: A new basis for nonseparable bispectra

Abstract: Non-Gaussianity in the distribution of inflationary perturbations, measurable in statistics of the cosmic microwave background (CMB) and large scale structure fluctuations, can be used to probe non-trivial initial quantum states for these perturbations. The bispectrum shapes predicted for generic non-Bunch-Davies initial states are non-factorizable ("non-separable") and are highly oscillatory functions of the three constituent wavenumbers. This can make the computation of CMB bispectra, in particular, computat… Show more

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Cited by 8 publications
(5 citation statements)
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“…There are a number of existing methods for building a basis functions for Q s , e.g. [77][78][79]. Instead, let us consider an ansatz given by The terms in the square brackets in Eq.…”
Section: B Separable Templatesmentioning
confidence: 99%
“…There are a number of existing methods for building a basis functions for Q s , e.g. [77][78][79]. Instead, let us consider an ansatz given by The terms in the square brackets in Eq.…”
Section: B Separable Templatesmentioning
confidence: 99%
“…For sensitivity to oscillatory signatures in the bispectrum (as is expected in resonance models), Meerburg proposed a separable Fourier mode basis [376] lxxii . More recently, Byun et al proposed a basis of localized piecewise spline functions tailored towards non-separable bispectra [377]. Given a particular choice, one can then make a modal expansion of a given shape function as…”
Section: Higher Order Correlatorsmentioning
confidence: 99%
“…For sensitivity to oscillatory signatures in the bispectrum (as is expected in resonance models), Meerburg proposed a separable Fourier mode basis [376] lxxii . More recently, Byun et al proposed a basis of localized piecewise spline functions tailored towards non-separable bispectra [377]. Given a particular choice, one can then make a modal expansion of a given shape function as…”
Section: Higher Order Correlatorsmentioning
confidence: 99%