TY - JOUR
T1 - PANCAKE
T2 - A Python-based Numerical Color-Magnitude Diagram Analysis Package
AU - Zheng, Yun
AU - Yang, Yujiao
AU - Zhang, Yong Kun
AU - Zheng, Zheng
AU - Wang, Jing
AU - Staveley-Smith, Lister
AU - Tsai, Chao Wei
AU - Li, Di
AU - Liu, Chao
AU - Hu, Jingjing
AU - Chen, Huaxi
AU - Quan, Donghui
AU - Zheng, Yinghui
AU - Li, Hangyuan
N1 - Publisher Copyright:
© 2025. The Author(s). Published by the American Astronomical Society.
PY - 2025/7/1
Y1 - 2025/7/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105009141052
U2 - 10.3847/1538-4365/add88c
DO - 10.3847/1538-4365/add88c
M3 - Article
AN - SCOPUS:105009141052
SN - 0067-0049
VL - 279
JO - Astrophysical Journal, Supplement Series
JF - Astrophysical Journal, Supplement Series
IS - 1
M1 - 12
ER -