PRIISM: Synthesis imaging tool based on the sparse modeling for radio astronomy

We will present recent progress on a development of the Python module for Radio Interferometry Imaging with Sparse Modeling (PRIISM) and its application. PRISM is a new imaging tool for radio interferometry based on the sparse modeling approach. PRIISM is aimed at an imaging without subjectivity nor manual intervention as well as a platform to explore the super-resolution imaging. PRIISM integrates a solver routine with data manipulation tools provided by Common Astronomy Software Applications (CASA). As a consequence of this integration, we successfully reconstructed images from the ALMA Science Verification Data. We will present a new imaging mode that is based on the Non-Uniform Fast Fourier Transformation (NUFFT) together with an existing imaging mode using Fast Fourier Transformation (FFT). We will also discuss about an optimization of the procedure depending on the property of the data.