Introducing piXedfit: A Spectral Energy Distribution Fitting Code Designed for Resolved Sources

We present piXedfit, pixelized spectral energy distribution (SED) fitting, a Python package that provides tools for analyzing spatially resolved properties of galaxies using multiband imaging data alone or in combination with integral field spectroscopy (IFS) data. piXedfit has six modules can handle all tasks the SED fitting. The fitting module uses Bayesian inference technique two kinds posteriors sampling methods: Markov Chain Monte Carlo (MCMC) and random densely-sampling parameter space (RDSPS). test performance mock SEDs simulated from IllustrisTNG. both methods recover physical star formation histories IllustrisTNG well. further by 20 observed CALIFA MaNGA surveys. comprises 12-band GALEX, SDSS, 2MASS, WISE, IFS MaNGA. match (in resolution sampling) By only photometric SEDs, predict continuum, $\text{D}_{\rm n}4000$, $H_{\alpha}$, $H_{\beta}$ rate (SFR) derived is consistent $H_{\alpha}$ emission. RDSPS method gives equally good results as MCMC it much faster than MCMC. versatile tool equipped parallel computing efficient analysis large datasets, will be made publicly available (https://github.com/aabdurrouf/piXedfit).