English

Constraining ultra slow roll inflation using cosmological datasets

Cosmology and Nongalactic Astrophysics 2024-11-26 v2 General Relativity and Quantum Cosmology

Abstract

In recent years, the detection of gravitational waves by LIGO and PTA collaborations have raised the intriguing possibility of excess matter power at small scales. Such an increase can be achieved by ultra slow roll (USR) phase during inflationary epoch. We constrain excess power over small scales within the framework of such models using cosmological datasets, particularly of CMB anisotropies and Lyman-α\alpha. We parameterize the USR phase in terms of the e-fold at the onset of USR (counted from the end of inflation) Nˉ1\bar N_1 and the duration of USR phase ΔN\Delta N. The former dictates the scale of enhancement in the primordial power spectrum, while the latter determines the amplitude of such an enhancement. From a joint dataset of CMB, SNIa and galaxy surveys, we obtain Nˉ145\bar N_1 \lesssim 45 with no bound on ΔN\Delta N. This in turn implies that the scales over which the power spectrum can deviate significantly from the nearly scale invariant behavior of a typical slow-roll model is k1Mpc1k \gtrsim 1 \, \rm Mpc^{-1}. On the other hand, the Lyman-α\alpha data is sensitive to baryonic power spectrum along the line of sight. We consider a semi-analytic theoretical method and high spectral-resolution Lyman-α\alpha data to constrain the model. The Lyman-α\alpha data limits both the USR parameters: Nˉ141\bar N_1 \lesssim 41 and ΔN0.4\Delta N \lesssim 0.4. This constrains the amplitude of the power spectrum enhancement to be less than a factor of hundred over scales 1k/Mpc11001 \lesssim k/{\rm Mpc^{-1}} \lesssim 100, thereby considerably improving the constraint on power over these scales as compared to the bounds arrived at from CMB spectral distortion.

Keywords

Cite

@article{arxiv.2404.00933,
  title  = {Constraining ultra slow roll inflation using cosmological datasets},
  author = {H. V. Ragavendra and Anjan Kumar Sarkar and Shiv K. Sethi},
  journal= {arXiv preprint arXiv:2404.00933},
  year   = {2024}
}

Comments

v1: 27 pages, 8 figures; v2: 24 pages, 7 figures, updated dataset, discussion and references, accepted in JCAP

R2 v1 2026-06-28T15:39:57.951Z