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arXiv 2407.18486astro-ph.GAastro-ph.CO
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使用无偏丰度匹配方法建立HI质量与恒星质量及晕质量的标度关系

Establishing HI mass v.s. stellar mass and halo mass scaling relations using an abundance matching method

Yi Lu, Xiaohu Yang, Chengze Liu, Haojie Xu, Antonios Katsianis, Hong Guo, Xiaoju Xu, Yizhou Gu

AI总结:

本研究结合SDSS和ALFALFA数据,使用无Malmquist bias的丰度匹配方法,建立了HI质量与恒星质量及晕质量的标度关系,模型能准确重现HI质量分布。

摘要:

我们结合了Sloan Digital Sky Survey (SDSS)和Arecibo Legacy Fast ALFA Survey (ALFALFA)的数据,使用一种不受Malmquist bias影响的丰度匹配方法,建立了HI质量与恒星质量及晕质量的标度关系。为了实现丰度匹配,我们在SDSS DR7星系群样本与ALFALFA HI源之间进行交叉匹配,提供了一个包含14,270个星系群(晕)内16,520个HI-星系对的目录。通过对光学和HI观测应用观测完备性修正,我们使用剩余的8,180个ALFALFA匹配源来构建模型约束。考虑到HI质量对星系和群属性的依赖,我们建立了两组标度关系:一组结合了恒星质量、$({g-r})$颜色和晕质量,另一组结合了恒星质量、比恒星形成率($\ m sSFR$)和晕质量。我们证明,我们的模型能够将HI质量分量作为恒星质量和晕质量重现。额外测试表明,作为宇宙网类型和卫星分数函数的条件HI质量分布得到了很好的恢复。

英文摘要:

We combined data from the Sloan Digital Sky Survey (SDSS) and the Arecibo Legacy Fast ALFA Survey (ALFALFA) to establish the HI mass vs. stellar mass and halo mass scaling relations using an abundance matching method that is free of the Malmquist bias. To enable abundance matching, a cross-match between the SDSS DR7 galaxy group sample and the ALFALFA HI sources provides a catalog of 16,520 HI-galaxy pairs within 14,270 galaxy groups (halos). By applying the observational completeness reductions for both optical and HI observations, we used the remaining 8,180 ALFALFA matched sources to construct the model constraints. Taking into account the dependence of HI mass on both the galaxy and group properties, we establish two sets of scaling relations: one with a combination of stellar mass, $({g-r})$ color and halo mass, and the other with stellar mass, specific star-formation rate ($\rm sSFR$), and halo mass. We demonstrate that our models can reproduce the HI mass component as both a stellar and halo mass. Additional tests showed that the conditional HI mass distributions as a function of the cosmic web type and the satellite fractions were well recovered.

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