Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 196

The DOI matches its Crossref record.

Polarization of the microwave background in reionized models

Open access
Zaldarriaga, Matias·1997·Physical Review D

Abstract

I discuss the physics of polarization in models with early reionization. For sufficiently high optical depth to recombination the polarization is boosted on large scales while it is suppressed on smaller scales. New peaks appear in the polarization power spectrum; their position is proportional to the square root of the redshift at which the reionization occurs while their amplitude is proportional to the optical depth. For standard scenarios the rms degree of linear polarization as measured with a $7\ifmmode^\circ\else\textdegree\fi{}$ full width at half maximum (FWHM) antenna (such as the one of the Brown University experiment) is 1.6 $\ensuremath{\mu}\mathrm{K}$, 1.2 $\ensuremath{\mu}\mathrm{K}$, $4.8\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}2}$ $\ensuremath{\mu}\mathrm{K}$ for an optical depth of $1$, $0.5$, or $0$, respectively. For a $1\ifmmode^\circ\else\textdegree\fi{}$ FWHM antenna these same models give 2.7 $\ensuremath{\mu}\mathrm{K}$, 1.8 $\ensuremath{\mu}\mathrm{K}$, and 0.77 $\ensuremath{\mu}\mathrm{K}$. Detailed measurement of polarization on large angular scales could provide an accurate determination of the epoch of reionization, which cannot be obtained from temperature measurements alone.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevd.55.1822

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 196

Metadata

Authors
Zaldarriaga, M.
Venue
Physical Review D
Published
1997-02-15
Volume
55
Issue
4
Pages
1822-1829
ISSN
  • 0556-2821 (ISSN-L)
  • 1089-4918
OpenAlex
W2171042027
Cited by
196
References
0
FWCI
6.25
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Polarization of the microwave background in reionized models. https://app.cochat.ai/papers/10.1103/physrevd.55.1822
The paper
Zaldarriaga, M. (1997). Polarization of the microwave background in reionized models. Physical Review D. https://doi.org/10.1103/physrevd.55.1822

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.