The DOI matches its Crossref record.
A Bayesian view on Faraday rotation maps – Seeing the magnetic power spectra in galaxy clusters
Open accessAbstract
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.
Integrity signals
Registry
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.
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
Astrophysical magnetic fields and nonlinear dynamo theory
Brandenburg, A., & Subramanian, K. (2005) · Physics Reports · doi:10.1016/j.physrep.2005.06.005 · Cited by 1,640
Clusters of galaxies: observational properties of the diffuse radio emission
Feretti, L., Giovannini, G., Govoni, F., & Murgia, M. (2012) · The Astronomy and Astrophysics Review · doi:10.1007/s00159-012-0054-z · Cited by 667
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.