Richardson–Lucy Deconvolution with a Spatially Variant Point-spread Function of Chandra: Supernova Remnant Cassiopeia A as an Example

Richardson-Lucy (RL) deconvolution is one of the classical methods widely used in X-ray astronomy and other areas. Amid recent progress image processing, RL still leaves much room for improvement under a realistic situations. One direction to include positional dependence point-spread function (PSF), so-called with spatially variant PSF (RL$_{\rm{sv}}$). Another method estimating reliable number iterations their associated uncertainties. We developed practical that incorporates RL$_{\rm{sv}}$ algorithm estimation As typical example bright high-resolution images, Chandra supernova remnant Cassiopeia~A was this paper. enables us uncover smeared features forward/backward shocks jet-like structures. constructed predict appropriate by using statistical fluctuation observed images. Furthermore, uncertainties were estimated error propagation from last iteration, which phenomenologically tested data. Thus, our practically efficient framework evaluate time evolution remnants fine structures embedded