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Currently, most photometric studies of galaxies have only been done by treating a galaxy as a single point object or modeling them with a few axisymmetric components. The advent of IFU surveys has revolutionized the way we study galaxies. Despite its powerful capabilities, wide-area IFU surveys are only limited to local galaxies. The latest development in the spectral energy distribution (SED) fitting method makes it possible to implement the method on a pixel-to-pixel basis. piXedfit, pixelized SED fitting, is a python package that provides tools for obtaining spatially resolved stellar population properties of galaxies from multi-band imaging data. This package will be an essential tool for studying the stellar population properties of galaxies across a wide redshift range in the era of big data in photometry (from JWST, WFIRST, LSST, and Euclid).
galaxy evolution, Bayesian statistical inference, galaxy formation, galaxy physical properties
galaxy evolution, Bayesian statistical inference, galaxy formation, galaxy physical properties
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