BINGO: a code for the efficient computation of the scalar bi-spectrum

被引:83
作者
Hazra, Dhiraj Kumar [1 ]
Sriramkumar, L. [2 ]
Martin, Jerome [3 ]
机构
[1] Harish Chandra Res Inst, Allahabad 211019, Uttar Pradesh, India
[2] Indian Inst Technol, Dept Phys, Madras 600036, Tamil Nadu, India
[3] Univ Paris 06, CNRS, UMR7095, Inst Astrophys Paris, F-75014 Paris, France
关键词
inflation; non-gaussianity; physics of the early universe; cosmological perturbation theory; PRIMORDIAL NON-GAUSSIANITY; PROBE WMAP OBSERVATIONS; POWER SPECTRUM; MINKOWSKI FUNCTIONALS; INFLATION; BISPECTRUM; RECONSTRUCTION; PERTURBATIONS; POLARIZATION; TEMPERATURE;
D O I
10.1088/1475-7516/2013/05/026
中图分类号
P1 [天文学];
学科分类号
070403 [天体物理学];
摘要
We present a new and accurate Fortran code, the BI-spectra and Non-Gaussianity Operator (BINGO), for the efficient numerical computation of the scalar bi-spectrum and the non-Gaussianity parameter f(NL) in single field inflationary models involving the canonical scalar field. The code can calculate all the different contributions to the bi-spectrum and the parameter f(NL) for an arbitrary triangular configuration of the wavevectors. Focusing firstly on the equilateral limit, we illustrate the accuracy of BINGO by comparing the results from the code with the spectral dependence of the bi-spectrum expected in power law inflation. Then, considering an arbitrary triangular configuration, we contrast the numerical results with the analytical expression available in the slow roll limit, for, say, the case of the conventional quadratic potential. Considering a non-trivial scenario involving deviations from slow roll, we compare the results from the code with the analytical results that have recently been obtained in the case of the Starobinsky model in the equilateral limit. As an immediate application, we utilize BINGO to examine of the power of the non-Gaussianity parameter f(NL) to discriminate between various inflationary models that admit departures from slow roll and lead to similar features in the scalar power spectrum. We close with a summary and discussion on the implications of the results we obtain.
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页数:35
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