Zeyu Gao
From Halos to Galaxies. X. Decoding Galaxy SEDs with Physical Priors and Accurate Star Formation History Reconstruction
Gao, Zeyu; Peng, Yingjie; Wang, Kai; Ho, Luis C.; Renzini, Alvio; Gallazzi, Anna R.; Mannucci, Filippo; Mo, Houjun; Jing, Yipeng; Yang, Xiaohu; Wang, Enci; Zhao, Dingyi; Dou, Jing; Gu, Qiusheng; Lyu, Cheqiu; Maiolino, Roberto; Wang, Bitao; Wang, Yu-Chen; Xu, Bingxiao; Yuan, Feng; Zhu, Xingye
Authors
Yingjie Peng
Dr Kai Wang kai.wang@durham.ac.uk
Post Doctoral Research Associate
Luis C. Ho
Alvio Renzini
Anna R. Gallazzi
Filippo Mannucci
Houjun Mo
Yipeng Jing
Xiaohu Yang
Enci Wang
Dingyi Zhao
Jing Dou
Qiusheng Gu
Cheqiu Lyu
Roberto Maiolino
Bitao Wang
Yu-Chen Wang
Bingxiao Xu
Feng Yuan
Xingye Zhu
Abstract
The spectral energy distribution (SED) of galaxies is essential for deriving fundamental properties like stellar mass and star formation history (SFH). However, conventional methods, including both parametric and nonparametric approaches, often fail to accurately recover the observed cosmic star formation rate (SFR) density due to oversimplified or unrealistic assumptions about SFH and their inability to account for the complex SFH variations across different galaxy populations. To address this issue, we introduce a novel approach that improves galaxy broadband SED analysis by incorporating physical priors derived from hydrodynamical simulations. Tests using IllustrisTNG simulations demonstrate that our method can reliably determine galaxy physical properties from broadband photometry, including stellar mass within 0.05 dex, current SFR within 0.3 dex, and fractional stellar formation time within 0.2 dex, with a negligible fraction of catastrophic failures. When applied to the Sloan Digital Sky Survey (SDSS) main photometric galaxy sample with spectroscopic redshift, our estimates of stellar mass and SFR are consistent with the widely used MPA-JHU and GSWLC catalogs. Notably, using the derived SFHs of individual SDSS galaxies, we estimate the cosmic SFR density and stellar mass density with remarkable consistency to direct observations up to z ~ 6. This demonstrates a significant advancement in deriving SFHs from SEDs that closely align with observational data. Consequently, our method can reliably recover observed spectral indices such as Dn(4000) and HδA by synthesizing the full spectra of galaxies using the estimated SFHs and metal enrichment histories, relying solely on broadband photometry as input. Furthermore, this method is extremely computationally efficient compared to conventional approaches.
Citation
Gao, Z., Peng, Y., Wang, K., Ho, L. C., Renzini, A., Gallazzi, A. R., Mannucci, F., Mo, H., Jing, Y., Yang, X., Wang, E., Zhao, D., Dou, J., Gu, Q., Lyu, C., Maiolino, R., Wang, B., Wang, Y.-C., Xu, B., Yuan, F., & Zhu, X. (2025). From Halos to Galaxies. X. Decoding Galaxy SEDs with Physical Priors and Accurate Star Formation History Reconstruction. The Astrophysical Journal, 979(1), Article 66. https://doi.org/10.3847/1538-4357/ad9a5c
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 25, 2024 |
Online Publication Date | Jan 17, 2025 |
Publication Date | Jan 20, 2025 |
Deposit Date | Jan 22, 2025 |
Publicly Available Date | Jan 22, 2025 |
Journal | The Astrophysical Journal |
Electronic ISSN | 1538-4357 |
Peer Reviewed | Peer Reviewed |
Volume | 979 |
Issue | 1 |
Article Number | 66 |
DOI | https://doi.org/10.3847/1538-4357/ad9a5c |
Keywords | Galaxy colors, Galaxy stellar content, Star formation, Galaxy ages, Galaxy evolution, Galaxy masses, Galaxy quenching, Galaxy properties |
Public URL | https://durham-repository.worktribe.com/output/3341939 |
Files
Published Journal Article
(4.8 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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