SIMBAD references

Stellar populations serve as a fossil record of galaxy formation and evolution, providing crucial information about the history of star formation and galaxy evolution. The color-magnitude diagram (CMD) stands out as the most accurate tool currently available for inferring the star formation histories (SFHs) of nearby galaxies with stellar-resolved multiband data. The launch of new space telescopes, including JWST, EUCLID, and the upcoming CSST and Roman, will significantly increase the number of stellar-resolved galaxies over the next decade. A user-friendly and customizable CMD-fitting package would be valuable for galaxy evolution studies with these data. We have developed the open-source Python-bAsed Numerical Color-magnitude diagram Analysis pacKagE (PANCAKE), which is fast and accurate in determining SFHs and stellar population parameters for nearby galaxies. We have validated our method via a series of comprehensive tests. First, PANCAKE performs well on mock data, while the random and systematic uncertainties are quantified. Second, PANCAKE performs well on observational data containing a star cluster and 38 dwarf galaxies (50 fields). Third, the star formation rates (SFRs) from PANCAKE are consistent with the SFRs determined with far-ultraviolet photometry. To ensure compatibility and accuracy, we have included isochrone libraries generated using PARSEC for most of the optical and near-infrared filters used by space telescopes such as the Hubble Space Telescope, JWST, and the upcoming CSST.