Orateur
Description
Since the advent of high-resolution X-ray imaging with modern CCD detectors, multi-band images of bright supernova remnants (SNRs) have stunned us with their beauty. While the spectral properties of such SNRs have been studied in detail with complex models, the spatial morphologies are frequently described qualitatively, but not quantified.
In this talk, I will discuss the potential of multi-band morphological analysis of SNRs using spatial correlation analysis. This includes auto- and cross-correlation functions within and between energy bands, and the corresponding power spectra. These tools can quantify the typical spatial scales of shocks, filaments, and ejecta clumps in bright SNRs.
While hydrodynamic simulations of SNRs typically require significant fine-tuning to match observed morphologies, these statistical descriptors can provide more immediate, quantitative tests to such models. This approach therefore complements the well-established spectroscopic diagnostics, offering new perspectives on the physical processes shaping SNRs, such as turbulence or explosion asymmetries.
