A study of Kepler supernova remnant: angular power spectrum estimation from radio frequency data
Preetha Saha, Somnath Bharadwaj, Nirupam Roy, Samir Choudhuri, Debatri, Chattopadhyay

TL;DR
This study estimates the angular power spectrum of synchrotron emission fluctuations in the Kepler supernova remnant using VLA radio data, revealing turbulence characteristics and a break related to shell thickness.
Contribution
It introduces a novel visibility-based estimator for the angular power spectrum and applies it to Kepler SNR data, providing new insights into turbulence and structure.
Findings
Power spectrum follows a broken power law with a break at specific angular scales.
Slope before the break matches 2D Kolmogorov turbulence, consistent with earlier SNR studies.
Post-break slope suggests 3D Kolmogorov turbulence, with foregrounds affecting high-ell measurements.
Abstract
Supernova remnants (SNRs) have a variety of overall morphology as well as rich structures over a wide range of scales. Quantitative study of these structures can potentially reveal fluctuations of density and magnetic field originating from the interaction with ambient medium and turbulence in the expanding ejecta. We have used GHz (L band) and GHz (C band) VLA data to estimate the angular power spectrum of the synchrotron emission fluctuations of the Kepler SNR. This is done using the novel, visibility based, Tapered Gridded Estimator of . We have found that, for , the power spectrum is a broken power law with a break at , and power law index of and before and after the break respectively. The slope is consistent with 2D Kolmogorov turbulence and earlier…
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