Jing Tao Dou

Reconstructing the Projected Dark Matter Field across 0.1–100 Mpc Scales from the SDSS Survey

Kunyao Zhao, Yingjie Peng, Dingyi Zhao, Xiaohu Yang et autres

This dataset accompanies the paper “Reconstructing the Projected Dark Matter Field across 0.1–100 Mpc Scales from the SDSS Survey”. It contains the fiducial reconstructed SDSS projected dark-matter surface-density field and the galaxy sample used to construct the input stellar-mass-density field. Further details …

cn, gb, us, it (code pays fourni par la source)

Reconstructing the Projected Dark Matter Field across 0.1–100 Mpc Scales from the SDSS Survey

Kunyao Zhao, Yingjie Peng, Dingyi Zhao, Xiaohu Yang et autres

This dataset accompanies the paper “Reconstructing the Projected Dark Matter Field across 0.1–100 Mpc Scales from the SDSS Survey”. It contains the fiducial reconstructed SDSS projected dark-matter surface-density field and the galaxy sample used to construct the input stellar-mass-density field. Further details …

cn, gb, us, it (code pays fourni par la source)

Reconstructed Projected Dark-Matter Field and Galaxy Sample for the SDSS Low-Redshift Region

Kunyao Zhao, Yingjie Peng, Dingyi Zhao, Xiaohu Yang et autres

This dataset accompanies the paper “Reconstructing the Projected Dark Matter Field across 0.1–100 Mpc Scales from the SDSS Survey”. It contains the fiducial reconstructed SDSS projected dark-matter surface-density field and the galaxy sample used to construct the input stellar-mass-density field. Further details …

cn, gb, us, it (code pays fourni par la source)

Dataset for "From Halos to Galaxies. VI. Improved Halo Mass Estimation for SDSS Groups and Measurement of the Halo Mass Function"

Dingyi Zhao, Yingjie Peng, Yi-Peng Jing, Xiaohu Yang et autres

Zhao et al. (2025) developed a simulation-trained machine-learning (ML) framework to improve dark-matter halo mass estimates for SDSS galaxy groups, addressing systematic biases of abundance-matching halo masses (notably differences between groups with star-forming vs. passive centrals). They apply the calibrated ML model …

cn, it, gb, us (code pays fourni par la source)

Dataset for "From Halos to Galaxies. VI. Improved Halo Mass Estimation for SDSS Groups and Measurement of the Halo Mass Function"

Dingyi Zhao, Yingjie Peng, Yi-Peng Jing, Xiaohu Yang et autres

Zhao et al. (2025) developed a simulation-trained machine-learning (ML) framework to improve dark-matter halo mass estimates for SDSS galaxy groups, addressing systematic biases of abundance-matching halo masses (notably differences between groups with star-forming vs. passive centrals). They apply the calibrated ML model …

cn, it, gb, us (code pays fourni par la source)

Clumpy Starburst in a Local Dwarf Galaxy, NGC 1522

Li Long, Yulong Gao, Qiusheng Gu, Yong Shi et autres

Abstract To investigate the star-forming process in nearby dwarf galaxies, we present integral field unit observations of the star-forming dwarf galaxy NGC 1522 with the Very Large Telescope/Multi Unit Spectroscopic Explorer as a part of the Dwarf Galaxy Integral Survey. Our observations …

cn, us, cl (code pays fourni par la source)

The Critical Role of Dark Matter Halos in Driving Star Formation*

Jing Tao Dou, Yingjie Peng, Qiusheng Gu, Luis C. Ho et autres

Abstract Understanding the physical mechanisms that drive star formation is crucial for advancing our knowledge of galaxy evolution. We explore the interrelationships between key galaxy properties associated with star formation, with a particular focus on the impact of dark matter (DM) halos. …

cn, it, fr, kr, gb (code pays fourni par la source)

The critical role of dark matter halos in driving star formation

Jing Tao Dou, Yingjie Peng, Qiusheng Gu, Luis C. Ho et autres

Understanding the physical mechanisms that drive star formation is crucial for advancing our knowledge of galaxy evolution. We explore the interrelationships between key galaxy properties associated with star formation, with a particular focus on the impact of dark matter halos. Given the …

From Halos to Galaxies. X. Decoding Galaxy SEDs with Physical Priors and Accurate Star Formation History Reconstruction

Zeyu Gao, Yingjie Peng, Kai Wang, Luis C. Ho et autres

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 …

From Halos to Galaxies. VI. Improved Halo Mass Estimation for SDSS Groups and Measurement of the Halo Mass Function

Dingyi Zhao, Yingjie Peng, Yipeng Jing, Xiaohu Yang et autres

Abstract In ΛCDM cosmology, galaxies form and evolve in their host dark matter (DM) halos. Halo mass is crucial for understanding the halo–galaxy connection. The abundance-matching (AM) technique has been widely used to derive the halo masses of galaxy groups. However, the …

The H i Reservoir in Central Spiral Galaxies and the Implied Star Formation Process ∗

Jing Tao Dou, Yingjie Peng, Qiusheng Gu, A. Renzini et autres

Abstract The cold interstellar medium (ISM) as the raw material for star formation is critical to understanding galaxy evolution. It is generally understood that galaxies stop making stars when, in one way or another, they run out of gas. However, here we …

From Halos to Galaxies. IX. Estimate of Halo Assembly History for SDSS Galaxy Groups

Cheqiu Lyu, Yingjie Peng, Yipeng Jing, Xiaohu Yang et autres

Abstract The properties of the galaxies are tightly connected to their host halo mass and halo assembly history. Accurate measurement of the halo assembly history in observation is challenging but crucial to the understanding of galaxy formation and evolution. The stellar-to-halo mass …

cn, it, us, gb (code pays fourni par la source)