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B-mode constraints from Planck low multipole polarisation data
by
de Belsunce, Roger
, Efstathiou, George
, Gratton, Steven
in
Big Bang theory
/ Blackbody
/ Confidence limits
/ Cosmic microwave background
/ Covariance matrix
/ Mathematical analysis
/ Multipoles
/ Polarization
/ Synchrotron radiation
/ Synchrotrons
/ Systematic errors
/ Tensors
2022
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B-mode constraints from Planck low multipole polarisation data
by
de Belsunce, Roger
, Efstathiou, George
, Gratton, Steven
in
Big Bang theory
/ Blackbody
/ Confidence limits
/ Cosmic microwave background
/ Covariance matrix
/ Mathematical analysis
/ Multipoles
/ Polarization
/ Synchrotron radiation
/ Synchrotrons
/ Systematic errors
/ Tensors
2022
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Do you wish to request the book?
B-mode constraints from Planck low multipole polarisation data
by
de Belsunce, Roger
, Efstathiou, George
, Gratton, Steven
in
Big Bang theory
/ Blackbody
/ Confidence limits
/ Cosmic microwave background
/ Covariance matrix
/ Mathematical analysis
/ Multipoles
/ Polarization
/ Synchrotron radiation
/ Synchrotrons
/ Systematic errors
/ Tensors
2022
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B-mode constraints from Planck low multipole polarisation data
Paper
B-mode constraints from Planck low multipole polarisation data
2022
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Overview
We present constraints on primordial B modes from large angular scale cosmic microwave background polarisation anisotropies measured with the Planck satellite. To remove Galactic polarised foregrounds, we use a Bayesian parametric component separation method, modelling synchrotron radiation as a power law and thermal dust emission as a modified blackbody. This method propagates uncertainties from the foreground cleaning into the noise covariance matrices of the maps. We construct two likelihoods: (i) a semi-analytical cross-spectrum-based likelihood-approximation scheme (momento) and (ii) an exact polarisation-only pixel-based likelihood (pixlike). Since momento is based on cross-spectra it is statistically less powerful than pixlike, but is less sensitive to systematic errors correlated across frequencies. Both likelihoods give a tensor-to-scalar ratio, r, that is consistent with zero from low multipole (2 <= ell < 30) Planck polarisation data. From full-mission maps we obtain r_0.05<0.274, at 95 per cent confidence, at a pivot scale of k = 0.05 Mpc^-1, using pixlike. momento gives a qualitatively similar but weaker 95 per cent confidence limit of r_0.05<0.408.
Publisher
Cornell University Library, arXiv.org
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