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Using rotation measure grids to detect cosmological magnetic fields: A Bayesian approach

V. Vacca ; N. Oppermann ; T. Enßlin ; J. Jasche ; M. Selig ; M. Greiner ; H. Junklewitz ; M. Reinecke ; M. Brüggen ; E. Carretti ; L. Feretti ; C. Ferrari ; C. A. Hales ; Cathy Horellou (Institutionen för rymd- och geovetenskap, Radioastronomi och astrofysik) ; S. Ideguchi ; M. Johnston-Hollitt ; R. F. Pizzo ; H. Röttgering ; T. W. Shimwell ; K. Takahashi
Astronomy and Astrophysics (0004-6361). Vol. 591 (2016), p. Art. no. A13.
[Artikel, refereegranskad vetenskaplig]

Determining magnetic field properties in different environments of the cosmic large-scale structure as well as their evolution over redshift is a fundamental step toward uncovering the origin of cosmic magnetic fields. Radio observations permit the study of extragalactic magnetic fields via measurements of the Faraday depth of extragalactic radio sources. Our aim is to investigate how much different extragalactic environments contribute to the Faraday depth variance of these sources. We develop a Bayesian algorithm to distinguish statistically Faraday depth variance contributions intrinsic to the source from those due to the medium between the source and the observer. In our algorithm the Galactic foreground and measurement noise are taken into account as the uncertainty correlations of the Galactic model. Additionally, our algorithm allows for the investigation of possible redshift evolution of the extragalactic contribution. This work presents the derivation of the algorithm and tests performed on mock observations. Because cosmic magnetism is one of the key science projects of the new generation of radio interferometers, we have predicted the performance of our algorithm on mock data collected with these instruments. According to our tests, high-quality catalogs of a few thousands of sources should already enable us to investigate magnetic fields in the cosmic structure.

Nyckelord: Large-scale structure of Universe; Magnetic fields; Methods: data analysis; Methods: statistical; Polarization

Denna post skapades 2016-07-08. Senast ändrad 2017-01-27.
CPL Pubid: 239181


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Institutioner (Chalmers)

Institutionen för rymd- och geovetenskap, Radioastronomi och astrofysik (2010-2017)


Astronomi, astrofysik och kosmologi

Chalmers infrastruktur