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相关论文: Red, Straight, no bends: primordial power spectrum…

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The latest cosmological data seem to indicate a significant deviation from scale invariance of the primordial power spectrum when parameterized either by a power law or by a spectral index with non-zero "running". This deviation, by itself,…

天体物理学 · 物理学 2011-05-12 Licia Verde , Hiranya V. Peiris

We reconstruct the shape of the primordial power spectrum (PPS) using a smoothing spline. Our adapted smoothing spline technique provides a complementary method to existing efforts to search for smooth features in the PPS, such as a running…

天体物理学 · 物理学 2009-11-13 Carolyn Sealfon , Licia Verde , Raul Jimenez

Measuring the deviation from scale invariance of the primordial power spectrum is a critical test of inflation. In this paper we reconstruct the shape of the primordial power spectrum of curvature perturbations from the cosmic microwave…

宇宙学与河外天体物理 · 物理学 2011-09-01 Zong-Kuan Guo , Dominik J. Schwarz , Yuan-Zhong Zhang

Reconstructing the shape of the primordial power spectrum in a model independent way from cosmological data is a useful consistency check on what is usually assumed regarding early universe physics. It is also our primary window to unknown…

天体物理学 · 物理学 2008-11-26 Pia Mukherjee , Yun Wang

We propose an efficient and model independent method for reconstructing the primordial power spectrum from Cosmic Microwave Background (CMB) and large scale structure observations. The algorithm is based on a Monte Carlo principle and…

天体物理学 · 物理学 2009-11-10 Steen Hannestad

We reconstruct the shape of the primordial power spectrum from the latest cosmic microwave background data, including the new results from the Wilkinson Microwave Anisotropy Probe (WMAP), and large scale structure data from the two degree…

天体物理学 · 物理学 2009-11-07 S. L. Bridle , A. M. Lewis , J. Weller , G. Efstathiou

Detailed knowledge of the primordial power spectrum of curvature perturbations is essential both in order to elucidate the physical mechanism (`inflation') which generated it, and for estimating the cosmological parameters from observations…

宇宙学与河外天体物理 · 物理学 2014-01-17 Paul Hunt , Subir Sarkar

We investigate a non-parametric Bayesian method for reconstructing the primordial power spectrum (PPS) of scalar perturbations using temperature and polarisation data from the {\em Planck}, ACT, and SPT CMB experiments. This reconstruction…

宇宙学与河外天体物理 · 物理学 2025-07-30 Antonio Raffaelli , Mario Ballardini

Perturbations from inflation evolve into large scale structure of the late universe, and encode abundant cosmic structure formation physics. We allow freedom in the primordial power spectrum, rather than assuming a power law scale…

宇宙学与河外天体物理 · 物理学 2020-05-12 Guilherme Brando , Eric V. Linder

The Cosmic Microwave Background Radiation (CMBR) holds information about almost all the fundamental cosmological parameters, and by performing a likelihood analysis of high precision CMBR fluctuation data, these parameters can be inferred.…

天体物理学 · 物理学 2009-10-31 Steen Hannestad

We reconstruct the power spectrum of primordial curvature perturbations by applying a well-validated non-parametric technique employing Tikhonov regularisation to the first data release from the Planck satellite. To improve the…

宇宙学与河外天体物理 · 物理学 2015-12-31 Paul Hunt , Subir Sarkar

We perform a cosmological analysis in which we allow the primordial power spectrum of scalar perturbations to assume a shape that is different with respect to the usual power-law, arising from the simplest models of cosmological inflation.…

宇宙学与河外天体物理 · 物理学 2016-06-22 Stefano Gariazzo

We present a minimally-parametric reconstruction of the primordial power spectrum using the most recent cosmic microwave background and large scale structure data sets. Our goal is to constrain the shape of the power spectrum while…

宇宙学与河外天体物理 · 物理学 2010-04-06 Hiranya V. Peiris , Licia Verde

We present three non-parametric Bayesian primordial reconstructions using Planck 2018 polarization data: linear spline primordial power spectrum reconstructions, cubic spline inflationary potential reconstructions and sharp-featured…

宇宙学与河外天体物理 · 物理学 2019-11-20 Will J. Handley , Anthony N. Lasenby , Hiranya V. Peiris , Michael P. Hobson

We describe an attempt to reconstruct the initial conditions for the formation of cosmological large-scale structure. The power spectrum of the primordial fluctuations is affected by bias, nonlinear evolution and redshift-space distortions,…

天体物理学 · 物理学 2015-06-24 J. A. Peacock , S. J. Dodds

The primordial power spectrum is an indirect probe of inflation or other structure-formation mechanisms. We introduce a new method, named \textbf{PRISM}, to estimate this spectrum from the empirical cosmic microwave background (CMB) power…

宇宙学与河外天体物理 · 物理学 2014-07-01 P. Paykari , F. Lanusse , J. -L. Starck , F. Sureau , J. Bobin

While the simplest inflationary models predict the primordial perturbations to be near scale-invariant, the primordial power spectrum (PPS) can exhibit oscillatory features in many physically well-motivated models. We search for hints of…

宇宙学与河外天体物理 · 物理学 2023-12-04 Wuhyun Sohn , Arman Shafieloo , Dhiraj Kumar Hazra

In this work we explore the possibility of variations in the primordial scalar power spectrum around the power-law shape, as predicted by single-field slow-roll inflationary scenarios. We search for the trace of these fluctuations in a…

宇宙学与河外天体物理 · 物理学 2022-02-09 Marzieh Farhang , Muhammad Sadegh Esmaeilian

With the recently published Cosmic Microwave Background data from Planck we address the optimized binning of the primordial power spectrum. As an important modification to the usual binning of the primordial spectrum, along with the…

宇宙学与河外天体物理 · 物理学 2014-01-06 Dhiraj Kumar Hazra , Arman Shafieloo , George F. Smoot

Pursuing the original idea proposed in our previous paper (Paper I), we improve the method to determine the shape of the initial curvature perturbation spectrum $P(k)$ from the CMB data. The thickness of the last scattering surface (LSS)…

天体物理学 · 物理学 2009-10-09 Makoto Matsumiya , Misao Sasaki , Jun'ichi Yokoyama
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