The ASA journal Statistics and Data Science in Imaging is planning a special issue on statistics for astronomical imaging data to showcase recent advances in astrostatistical methodologies and computation for processing astronomical imaging data.
The editors welcome papers about statistical and machine learning methods for problems such as image segmentation, source deblending, deconvolution, morphological classification, uncertainty quantification, and detection and characterization of sources in 2D images and image cubes that combine spatial image data with data in spectral or temporal dimensions.
The deadline to submit manuscript is December 31. Get details and submission instructions.
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