4.7 Article

TESTING SECONDARY MODELS FOR THE ORIGIN OF RADIO MINI-HALOS IN GALAXY CLUSTERS

期刊

ASTROPHYSICAL JOURNAL
卷 801, 期 2, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/801/2/146

关键词

galaxies: clusters: general; magnetohydrodynamics (MHD); radio continuum: galaxies; X-rays: galaxies: clusters

资金

  1. NASA Postdoctoral Program
  2. DOE
  3. [PRIN-INAF-2009]

向作者/读者索取更多资源

We present an MHD simulation of the emergence of a radio minihalo in a galaxy cluster core in a secondary model, where the source of the synchrotron-emitting electrons is hadronic interactions between cosmic-ray protons with the thermal intracluster gas, an alternative to the reacceleration model where the cosmic ray electrons are reaccelerated by turbulence induced by core sloshing, which we discussed in an earlier work. We follow the evolution of cosmic-ray electron spectra and their radio emission using passive tracer particles, taking into account the time-dependent injection of electrons from hadronic interactions and their energy losses. We find that secondary electrons in a sloshing cluster core can generate diffuse synchrotron emission with luminosity and extent similar to observed radio minihalos. However, we also find important differences with our previous work. We find that the drop in radio emission at cold fronts is less prominent than that in our reacceleration-based simulations, indicating that in this flavor of the secondary model the emission is more spatially extended than in some observed minihalos. We also explore the effect of rapid changes in the magnetic field on the radio spectrum. While the resulting spectra in some regions are steeper than expected from stationary conditions, the change is marginal, with differences in the synchrotron spectral index of Delta alpha less than or similar to 0.15-0.25, depending on the frequency band. This is a much narrower range than claimed in the best-observed minihalos and produced in the reacceleration model. Our results provide important suggestions to constrain these models with future observations.

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