2003
DOI: 10.1103/physrevd.68.023001
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Model-independent reionization observables in the CMB

Abstract: We represent the reionization history of the universe as a free function in redshift and study the potential for its extraction from CMB polarization spectra. From a principal component analysis, we show that the ionization history information is contained in 5 modes, resembling low-order Fourier modes in redshift space. The amplitude of these modes represent a compact description of the observable properties of reionization in the CMB, easily predicted given a model for the ionization fraction. Measurement of… Show more

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Cited by 110 publications
(137 citation statements)
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“…We also checked that Planck data do not allow for model-independent reconstruction of x e in redshift bins. Principal component analysis has been proposed as an explicit approach to try to capture the details of the reionization history in a small set of parameters (Hu & Holder 2003;Mortonson & Hu 2008). Although these methods are generally considered to be non-parametric, they are in fact based on a description of x e (z) .…”
Section: Parametrization Of Reionization Historymentioning
confidence: 99%
“…We also checked that Planck data do not allow for model-independent reconstruction of x e in redshift bins. Principal component analysis has been proposed as an explicit approach to try to capture the details of the reionization history in a small set of parameters (Hu & Holder 2003;Mortonson & Hu 2008). Although these methods are generally considered to be non-parametric, they are in fact based on a description of x e (z) .…”
Section: Parametrization Of Reionization Historymentioning
confidence: 99%
“…However, the degeneracy between the binned ionization fraction leads to weak constraints [20]. The principal component analysis provides a solution to this problem [7].…”
Section: Modelmentioning
confidence: 99%
“…1, we can cut off ℓ safely to ℓ max = 100 in the Fisher matrix. The perturbation to the fiducial x fid e is a delta function correlated with the nearby region [7]. The Fisher matrix F ij is decomposed as…”
Section: Modelmentioning
confidence: 99%
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