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arXiv · 2312.11440

One size fits all: Insights on Extrinsic Thermal Absorption from Similarity of Supernova Remnant Radio Continuum Spectra

Abstract

Typically, integrated radio frequency continuum spectra of supernova remnants (SNRs) exhibit a power-law form due to their synchrotron emission. In numerous cases, these spectra show an exponential turnover, long assumed due to thermal free-free absorption in the interstellar medium. We use a compilation of Galactic radio continuum SNR spectra, with and without turnovers, to constrain the distribution of the absorbing ionized gas. We introduce a novel parameterization of SNR spectra in terms of a characteristic frequency v_*, which depends both on the absorption turnover frequency and the power-law slope. Normalizing to v_* and to the corresponding flux density, S_*, we demonstrate that the stacked spectra of our sample reveal a similarity in behavior with low scatter (r.m.s. ~15%), and a unique exponential drop-off fully consistent with the predictions of a free-free absorption process. Observed SNRs, whether exhibiting spectral turnovers or not, appear to be spatially well mixed in the Galaxy without any evident segregation between them. Moreover, their Galactic distribution does not show a correlation with general properties such as heliocentric distance or Galactic longitude, as might have been expected if the absorption were due to a continuous distribution of ionized gas. However, it naturally arises if the absorbers are discretely distributed, as suggested by early low-frequency observations. Modeling based on HII regions tracking Galactic spiral arms successfully reproduces the patchy absorption observed to date. While more extensive statistical datasets should yield more precise spatial models of the absorbing gas distribution, our present conclusion regarding its inhomogeneity will remain robust.

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M. G. Abadi, G. Castelletti, L. Supan, N. E. Kassim, J. W. Lazio. 2023-12-18. One size fits all: Insights on Extrinsic Thermal Absorption from Similarity of Supernova Remnant Radio Continuum Spectra. https://arxiv.org/abs/2312.11440

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