Papers › PANCAKE: Python bAsed Numerical Color-magnitude-diagram Analysis pacKagE
PANCAKE: Python bAsed Numerical Color-magnitude-diagram Analysis pacKagE
Yun Zheng, Yujiao Yang, Yong-kun Zhang, Zheng Zheng, Jing Wang, Lister Staveley-Smith, Chao-Wei Tsai, Di Li, Chao Liu, Jingjing Hu, Huaxi Chen, Donghui Quan, Yinghui Zheng, Hangyuan Li
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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 develop an open-source Python-based package named \textsc{pancake}, which is fast and accurate in determining SFHs and stellar population parameters in nearby galaxies. We have validated our method via a series of comprehensive tests. First, \textsc{pancake} performs well on mock data, meanwhile the random and systematic uncertainties are quantified. Second, \textsc{pancake} performs well on observational data containing a star cluster and 38 dwarf galaxies (50 fields). Third, the star formation rate (SFR) from \textsc{pancake} is consistent with the SFR from FUV photometry. To ensure compatibility and accuracy, we have included isochrone libraries generated using PARSEC for most of the optical and near-infrared filters used in space telescopes such as HST, JWST, and the upcoming CSST.
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