Reconstruction of the primordial power spectra with Planck and BICEP2 data
By using the cubic spline interpolation method, we reconstruct the shape of the primordial scalar and tensor power spectra from the recently released Planck temperature and BICEP2 polarization cosmic microwave background data. We find that the vanishing scalar index running (dn(s)= d ln k) model is...
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Online Access: | http://ir.itp.ac.cn/handle/311006/15701 https://doi.org/10.1103/PhysRevD.90.023544 |
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ftchinacadscitp:oai:ir.itp.ac.cn/:311006/15701 2023-05-15T18:22:47+02:00 Reconstruction of the primordial power spectra with Planck and BICEP2 data Hu, B Hu, JW Guo, ZK Cai, RG Hu, B (reprint author), Leiden Univ, Inst Lorentz Theoret Phys, NL-2333 CA Leiden, Netherlands. 2014 http://ir.itp.ac.cn/handle/311006/15701 https://doi.org/10.1103/PhysRevD.90.023544 英语 eng PHYSICAL REVIEW D Hu, B; Hu, JW; Guo, ZK; Cai, RG.Reconstruction of the primordial power spectra with Planck and BICEP2 data,PHYSICAL REVIEW D,2014,90(2):23544 http://ir.itp.ac.cn/handle/311006/15701 http://dx.doi.org/10.1103/PhysRevD.90.023544 doi:10.1103/PhysRevD.90.023544 6 Microwave Background Anisotropies South-pole Telescope Damping Tail Wmap Physics 期刊论文 2014 ftchinacadscitp https://doi.org/10.1103/PhysRevD.90.023544 2020-07-24T14:08:51Z By using the cubic spline interpolation method, we reconstruct the shape of the primordial scalar and tensor power spectra from the recently released Planck temperature and BICEP2 polarization cosmic microwave background data. We find that the vanishing scalar index running (dn(s)= d ln k) model is strongly disfavored at more than 3 sigma confidence level on the k = 0.0002 Mpc(-1) scale. Furthermore, the power-law parametrization gives a blue-tilt tensor spectrum, no matter using only the first five bandpowers n(t) = 1.20(-0.64)(+0.56) (95% C.L.) or the full nine bandpowers nt 1.24(-0.58)(+0.51) (95% C.L.) of BICEP2 data sets. Unlike the large tensor-to-scalar ratio value (r similar to 0.20) under the scale-invariant tensor spectrum assumption, our interpolation approach gives r(0.002) < 0.060 (95% C.L.) by using the first five bandpowers of BICEP2 data. After comparing the results with/without BICEP2 data, we find that Planck temperature with small tensor amplitude signals and BICEP2 polarization data with large tensor amplitude signals dominate the tensor spectrum reconstruction on the large and small scales, respectively. Hence, the resulting blue tensor tilt actually reflects the tension between Planck and BICEP2 data. Report South pole Institute of Theoretical Physics: ITP OpenIR (Chinese Academy of Sciences) South Pole Physical Review D 90 2 |
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Institute of Theoretical Physics: ITP OpenIR (Chinese Academy of Sciences) |
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ftchinacadscitp |
language |
English |
topic |
Microwave Background Anisotropies South-pole Telescope Damping Tail Wmap Physics |
spellingShingle |
Microwave Background Anisotropies South-pole Telescope Damping Tail Wmap Physics Hu, B Hu, JW Guo, ZK Cai, RG Hu, B (reprint author), Leiden Univ, Inst Lorentz Theoret Phys, NL-2333 CA Leiden, Netherlands. Reconstruction of the primordial power spectra with Planck and BICEP2 data |
topic_facet |
Microwave Background Anisotropies South-pole Telescope Damping Tail Wmap Physics |
description |
By using the cubic spline interpolation method, we reconstruct the shape of the primordial scalar and tensor power spectra from the recently released Planck temperature and BICEP2 polarization cosmic microwave background data. We find that the vanishing scalar index running (dn(s)= d ln k) model is strongly disfavored at more than 3 sigma confidence level on the k = 0.0002 Mpc(-1) scale. Furthermore, the power-law parametrization gives a blue-tilt tensor spectrum, no matter using only the first five bandpowers n(t) = 1.20(-0.64)(+0.56) (95% C.L.) or the full nine bandpowers nt 1.24(-0.58)(+0.51) (95% C.L.) of BICEP2 data sets. Unlike the large tensor-to-scalar ratio value (r similar to 0.20) under the scale-invariant tensor spectrum assumption, our interpolation approach gives r(0.002) < 0.060 (95% C.L.) by using the first five bandpowers of BICEP2 data. After comparing the results with/without BICEP2 data, we find that Planck temperature with small tensor amplitude signals and BICEP2 polarization data with large tensor amplitude signals dominate the tensor spectrum reconstruction on the large and small scales, respectively. Hence, the resulting blue tensor tilt actually reflects the tension between Planck and BICEP2 data. |
format |
Report |
author |
Hu, B Hu, JW Guo, ZK Cai, RG Hu, B (reprint author), Leiden Univ, Inst Lorentz Theoret Phys, NL-2333 CA Leiden, Netherlands. |
author_facet |
Hu, B Hu, JW Guo, ZK Cai, RG Hu, B (reprint author), Leiden Univ, Inst Lorentz Theoret Phys, NL-2333 CA Leiden, Netherlands. |
author_sort |
Hu, B |
title |
Reconstruction of the primordial power spectra with Planck and BICEP2 data |
title_short |
Reconstruction of the primordial power spectra with Planck and BICEP2 data |
title_full |
Reconstruction of the primordial power spectra with Planck and BICEP2 data |
title_fullStr |
Reconstruction of the primordial power spectra with Planck and BICEP2 data |
title_full_unstemmed |
Reconstruction of the primordial power spectra with Planck and BICEP2 data |
title_sort |
reconstruction of the primordial power spectra with planck and bicep2 data |
publishDate |
2014 |
url |
http://ir.itp.ac.cn/handle/311006/15701 https://doi.org/10.1103/PhysRevD.90.023544 |
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South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
PHYSICAL REVIEW D Hu, B; Hu, JW; Guo, ZK; Cai, RG.Reconstruction of the primordial power spectra with Planck and BICEP2 data,PHYSICAL REVIEW D,2014,90(2):23544 http://ir.itp.ac.cn/handle/311006/15701 http://dx.doi.org/10.1103/PhysRevD.90.023544 doi:10.1103/PhysRevD.90.023544 |
op_rights |
6 |
op_doi |
https://doi.org/10.1103/PhysRevD.90.023544 |
container_title |
Physical Review D |
container_volume |
90 |
container_issue |
2 |
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1766202206536597504 |