A statistical approach to radio emission from shell-type SNRs. I. Basic ideas, techniques, and first results

TL;DR

This paper develops a statistical approach to analyze radio emission from shell-type supernova remnants, revealing insights into their evolution, electron acceleration, and magnetic fields, and challenges previous assumptions about their expansion phases.

Contribution

It introduces a parametric statistical method to interpret SNR radio data, highlighting the influence of ambient conditions and revising understanding of their evolutionary stages.

Findings

SNRs stop radio emission near the end of Sedov phase

Constant efficiency models do not fit the data well

Size distribution slope relates to ambient density, not expansion law

Abstract

Shell-type supernova remnants (SNRs) exhibit correlations between radio surface brightness, SNR diameter, and ambient medium density. We investigate these correlations, to extract useful information about the typical evolutionary stage of radio SNRs, and to obtain insight into the origin of the relativistic electrons and magnetic fields responsible for the radio emission. We propose a scenario, according to which the observed correlations are the combined effect of SNRs evolving in a wide range of ambient conditions, rather than the evolutionary track of a "typical" SNR. We then develop a parametric approach to interpret the statistical data, and apply it to the data sample previously published by Berkhuijsen, as well as to a sample of SNRs in the galaxy M33. We find that SNRs cease to emit effectively in radio at a stage near the end of their Sedov evolution, and that models of synchrotron emission with constant efficiencies in particle acceleration and magnetic field amplification do not provide a close match to the data. We discuss the problem of the cumulative distribution in size, showing that the slope of this distribution does not relate to the expansion law of SNRs, as usually assumed, but only to the ambient density distribution. This solves a long-standing paradox: the almost linear cumulative distribution of SNRs led several authors to conclude that these SNRs are still in free expansion, which also implies very low ambient densities. Within this framework, we discuss the case of the starburst galaxy M82. Statistical properties of SNR samples may be used to shed light on both the physics of electron acceleration and the evolution of SNRs. More precise results could be obtained by combining data of several surveys of SNRs in nearby galaxies.