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arXiv 2409.19941astro-ph.CO
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用早期暗能量模型解释JWST观测到的高红移亮星系

Explanation of high redshift luminous galaxies from JWST by early dark energy model

Jun-Qian Jiang, Weiyang Liu, Hu Zhan, Bin Hu

AI总结:

本研究针对JWST发现的高红移大质量星系丰度超预期及哈勃张力问题,用类轴子早期暗能量模型结合Salpeter初始质量函数拟合多类宇宙学数据,证实EDE可同时解释两类宇宙学疑难。

摘要:

詹姆斯·韦布空间望远镜(JWST)近期的观测发现了大量高红移大质量星系,其丰度远超预期,这一发现对星系形成模型和我们的宇宙学认知都构成了重大挑战。此外,从高红移宇宙微波背景(CMB)观测推断的哈勃参数,与通过低红移距离阶梯法得到的哈勃参数之间存在差异,这就是所谓的“哈勃张力”问题。在该张力的各类解决方案中,早期暗能量(EDE)模型是最具前景的方向之一。本研究采用类轴子EDE模型,结合通用的Salpeter初始质量函数,对JWST数据得到的光度函数,以及CMB、重子声学振荡(BAO)、SH0ES局域距离阶梯等其他宇宙学探测数据进行拟合。研究结果表明,即便不纳入SH0ES数据,JWST观测结果也支持EDE具有较高的能量份额$f_\text{EDE} \sim 0.2 \pm 0.03$,以及较高的哈勃常数值$H_0 \sim 74.6 \pm 1.2$ km/s/Mpc。这说明EDE不仅能解决$H_0$张力问题,还能为JWST观测到的大质量星系丰度提供合理的解释。

英文摘要:

Recent observations from the James Webb Space Telescope (JWST) have uncovered massive galaxies at high redshifts, with their abundance significantly surpassing expectations. This finding poses a substantial challenge to both galaxy formation models and our understanding of cosmology. Additionally, discrepancies between the Hubble parameter inferred from high-redshift cosmic microwave background (CMB) observations and those derived from low-redshift distance ladder methods have led to what is known as the ``Hubble tension''. Among the most promising solutions to this tension are Early Dark Energy (EDE) models. In this study, we employ an axion-like EDE model in conjunction with a universal Salpeter initial mass function to fit the luminosity function derived from JWST data, as well as other cosmological probes, including the CMB, baryon acoustic oscillations (BAO), and the SH0ES local distance ladder. Our findings indicate that JWST observations favor a high energy fraction of EDE, $ f_\text{EDE} \sim 0.2 \pm 0.03 $, and a high Hubble constant value of $ H_0 \sim 74.6 \pm 1.2 $ km/s/Mpc, even in the absence of SH0ES data. This suggests that EDE not only addresses the $ H_0 $ tension but also provides a compelling explanation for the observed abundance of massive galaxies identified by JWST.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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