Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 227

The DOI matches its Crossref record.

A Bayesian view on Faraday rotation maps – Seeing the magnetic power spectra in galaxy clusters

Open access
Vogt, C., Enßlin, T. A.·2005·Astronomy & Astrophysics

Abstract

We present a Bayesian maximum likelihood analysis of Faraday rotation measure (RM) maps of extended radio sources to determine magnetic field power spectra in clusters of galaxies. Using this approach, it is possible to determine the uncertainties in the measurements. We apply this approach to the RM map of Hydra A and derive the power spectrum of the cluster magnetic field. For Hydra A, we measure a spectral index of over at least one order of magnitude implying Kolmogorov type turbulence. We find a dominant scale ~3 kpc on which the magnetic power is concentrated, since the magnetic autocorrelation length is kpc. Furthermore, we investigate the influences of the assumption about the sampling volume (described by a window function) on the magnetic power spectrum. The central magnetic field strength was determined to be ~G for the most likely geometries.

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 · 10.1051/0004-6361:20041839

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 227

Metadata

Authors
Vogt, C., & Enßlin, T. A.
Venue
Astronomy & Astrophysics
Publisher
EDP Sciences
Published
2005-04
Volume
434
Issue
1
Pages
67-76
ISSN
  • 0004-6361 (ISSN-L)
  • 1432-0746
OpenAlex
W2098340246
Cited by
227
References
0
FWCI
9.76
Type
journal article
Language
en
Open access
bronze

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: A Bayesian view on Faraday rotation maps – Seeing the magnetic power spectra in galaxy clusters. https://app.cochat.ai/papers/10.1051/0004-6361:20041839
The paper
Vogt, C., & Enßlin, T. A. (2005). A Bayesian view on Faraday rotation maps – Seeing the magnetic power spectra in galaxy clusters. Astronomy & Astrophysics. https://doi.org/10.1051/0004-6361%3A20041839

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.