J/A+A/579/A3 Spatial deconvolution code (Quintero Noda+, 2015) ================================================================================ Spatial deconvolution of spectropolarimetric data: an application to quiet Sun magnetic elements. Quintero Noda C., Asensio Ramos A., Orozco Suarez D., Ruiz Cobo B. =2015A&A...579A...3Q ================================================================================ ADC_Keywords: Sun ; Models Keywords: methods: statistical - methods: data analysis - techniques: polarimetric - techniques: spectroscopic - Sun: photosphere - Sun: magnetic fields Abstract: One of the difficulties in extracting reliable information about the thermodynamical and magnetic properties of solar plasmas from spectropolarimetric observations is the presence of light dispersed inside the instruments, known as stray light. We aim to analyze quiet Sun observations after the spatial deconvolution of the data. We examine the validity of the deconvolution process with noisy data as we analyze the physical properties of quiet Sun magnetic elements. We used a regularization method that decouples the Stokes inversion from the deconvolution process, so that large maps can be quickly inverted without much additional computational burden. We applied the method on Hinode quiet Sun spectropolarimetric data. We examined the spatial and polarimetric properties of the deconvolved profiles, comparing them with the original data. After that, we inverted the Stokes profiles using the Stokes Inversion based on Response functions (SIR) code, which allow us to obtain the optical depth dependence of the atmospheric physical parameters. Description: This deconvolution method follows the scheme presented in Ruiz Cobo & Asensio Ramos (2013A&A...549L...4R) The Stokes parameters are projected onto a few spectral eigenvectors and the ensuing maps of coefficients are deconvolved using a standard Lucy-Richardson algorithm. This introduces a stabilization because the PCA filtering reduces the amount of noise. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file pca.zip 512 17 IDL code -------------------------------------------------------------------------------- Acknowledgements: Carlos Quintero Noda, cqn(at)iac.es ================================================================================ (End) Patricia Vannier [CDS] 15-May-2015