Angular power spectrum of supernova remnants: effects of structure, geometry, and diffuse foreground. Issue 3 (9th December 2020)

• Record Type: Journal Article
• Authors: Choudhuri, Samir; Saha, Preetha; Roy, Nirupam; Bharadwaj, Somnath; Dey, Jyotirmoy
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 501:Issue 3(2021)
• Page Start: 3364
• Page End: 3370
• Publication Date: 2020-12-09
• Subjects: MHD -- turbulence -- methods: data analysis -- methods: statistical -- techniques: interferometric -- ISM: supernova remnants; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/staa3798
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: The study of the intensity fluctuation power spectrum of individual supernova remnants (SNRs) can reveal the structures present at sub-pc scales, and also constrain the physical process that generates those structures. There are various effects, such as the remnant shell thickness, projection of a three-dimensional structure on to a two-dimensional observational plane, and the presence of diffuse 'foreground' emission, which causes the observed power spectrum to deviate from the intrinsic power spectrum of the fluctuations. Here, we report results from a systematic study of these effects, using direct numerical simulations, in the measured power spectrum. For an input power-law power spectrum, independent of the power-law index, we see a break in the observed power law at a scale which depends on the shell thickness of a shell-type SNR, and the three-dimensional turbulence changes to two-dimensional turbulence beyond that scale. We also report how the estimated power spectrum is expected to deviate from the intrinsic SNR power spectrum in the presence of additional diffuse Galactic synchrotron emission (DGSE) around the remnant shell. For a reasonable choice of the parameters, if the intrinsic SNR power spectrum is shallower than the DGSE power spectrum, the SNR contribution dominates at small angular scales of the estimated power spectra. On the other hand, if the SNR power spectrum is relatively steeper, the original power spectra is recovered only over a small window of angular scales. This study shows how detailed modelling may be used to infer the true power spectrum from the observed SNR intensity fluctuations power spectrum, which in turn can be used to constrain the nature of the turbulence that gives rise to these small-scale structures.