4.6 Article

Suppressing the impact of a high tensor-to-scalar ratio on the temperature anisotropies

Journal

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2014/07/014

Keywords

inflation; CMBR theory

Funding

  1. DOE at the University of Minnesota [DE-FG02-94ER-40823]
  2. U.S. National Science Foundation [PHY-1205986]
  3. STFC [ST/L00044X/1, ST/J000353/1] Funding Source: UKRI
  4. Science and Technology Facilities Council [ST/J000353/1, ST/L00044X/1] Funding Source: researchfish

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The BICEP2 collaboration has reported a strong B mode signal in the CMB polarization, which is well fit by a tensor-to-scalar ratio of r similar or equal to 0.2. This is greater than the upper limit r < 0.11 obtained from the temperature anisotropies under the assumption of a constant scalar spectral index n(s). This discrepancy can be reduced once the statistical error and the contamination from polarized dust are accounted for. If however a large value for r will be confirmed, it will need to be reconciled with the temperature anisotropies data. The most advocated explanation involves a variation of n(s) with scales (denoted as running) that has a magnitude significantly greater than the generic slow roll predictions. We instead study the possibility that the large scale temperature anisotropies are not enhanced because of a suppression of the scalar power at large scales. Such a situation can be achieved for instance by a sudden change of the speed of the inflaton (by about 14%), and we show that it fits the temperature anisotropies and polarization data considerably better than a constant running (its chi(2) improves by similar to 7.5 over that of the constant running, at the cost of one more parameter). We also consider the possibility that the large scale temperature fluctuations are suppressed by an anti-correlation between tensor and scalar modes. Unfortunately, while such effect does affect the temperature fluctuations at large scales, it does not affect the temperature power spectrum and cannot, therefore, help in reconciling a large value of r with the limits from temperature fluctuations.

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