2021
DOI: 10.1051/0004-6361/202039170
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Three-dimensional morphological asymmetries in the ejecta of Cassiopeia A using a component separation method in X-rays

Abstract: Recent simulations have shown that asymmetries in the ejecta distribution of supernova remnants can still reflect asymmetries from the initial supernova explosion. Thus, their study provides a great means to test and constrain model predictions in relation to the distributions of heavy elements or the neutron star kicks, both of which are key to better understanding the explosion mechanisms in core-collapse supernovae. The use of a novel blind source separation method applied to the megasecond X-ray observatio… Show more

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Cited by 16 publications
(9 citation statements)
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“…An updated version of this algorithm, the pGMCA (see Bobin et al 2020), has been developed to take into account the Poissonian nature of X-ray data. It was first used on Cas A data to probe the three-dimensional morphological asymmetries in the ejecta distribution (Picquenot et al 2021), and proved perfectly suited to producing clear, detailed, and unpolluted images of both the ejecta and the synchrotron at different energies. Thanks to these new images, we are able to study the profiles of some filamentary structures associated with the forward shock, and also find some associated with the reverse shock.…”
Section: Introductionmentioning
confidence: 99%
“…An updated version of this algorithm, the pGMCA (see Bobin et al 2020), has been developed to take into account the Poissonian nature of X-ray data. It was first used on Cas A data to probe the three-dimensional morphological asymmetries in the ejecta distribution (Picquenot et al 2021), and proved perfectly suited to producing clear, detailed, and unpolluted images of both the ejecta and the synchrotron at different energies. Thanks to these new images, we are able to study the profiles of some filamentary structures associated with the forward shock, and also find some associated with the reverse shock.…”
Section: Introductionmentioning
confidence: 99%
“…An updated version of this algorithm, the pGMCA (see Bobin et al 2020), has been developed to take into account the Poissonian nature of X-ray data. It was first used on Cas A data to probe the threedimensional morphological asymmetries in the ejecta distribution (Picquenot et al 2021), and proved perfectly suited for producing clear, detailed and unpolluted images of both the ejecta and the synchrotron at different energies. Thanks to these new images, we are able to study the profiles of some filamentary structures associated with the forward shock, as well as find some associated with the reverse shock.…”
Section: Thin X-ray Rims In Cassiopeia Amentioning
confidence: 99%
“…Multiscale methods like wavelets (Starck et al 2002) for point-source detection have been efficiently implemented for X-ray images (Freeman et al 2002), and matched-filter techniques have been successfully used to detect galaxy clusters in ROSAT data (Vikhlinin et al 1998), but extended structures remain difficult to find and characterize in these lowcount Poisson data. Other techniques are generally optimized for high signal-to-noise ratio (S/N) images: they apply adaptive binning, or set S/N thresholds to smoothed images with point sources removed (e.g., Sanders & Fabian 2001;Sanders 2006); adapt methods developed for the analysis of cosmic microwave background images (e.g., Bobin et al 2016); limit themselves to restrictive assumptions like modeling a combination of point sources ((E)BASCS; Jones et al 2015;Meyer et al 2021), or require spectral model similarity across the field of view (Picquenot et al 2019(Picquenot et al , 2021. Currently, most astronomical images with complex structures that are processed for public display use some form of fluxnonconserving adaptive smoothing (Ebeling et al 2006).…”
Section: Introductionmentioning
confidence: 99%