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arXiv 1905.04052astro-ph.COgr-qc
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用高斯过程和加权多项式回归法从宇宙计时器和Ia型超新星中得到的$H_0$

$H_0$ from cosmic chronometers and Type Ia supernovae, with Gaussian processes and the weighted polynomial regression method

Adrià Gómez-Valent, Luca Amendola

摘要:

我们推导出新的约束条件的哈勃参数$H_0$使用现有的数据$H(z)$从宇宙计时器(CCH),和哈勃率数据点从Ia型超新星(SnIa)的万神殿汇编和哈勃空间望远镜(HST)的坎德尔和CLASH多周期国库(MCT)计划。我们采用两种替代技术,高斯过程(GPs)和加权多项式回归(WPR)方法,重建哈勃函数,确定$H_0$的导出值,并将它们与Riess { \it et al.}(2018),$H_0^{\rm HST}=(73.48\pm1.66)$ km/s/Mpc,以及Planck+ $Λ$ CDM值,$H_0^{\rm P18}=(66.88\pm 0.92)$ km/s/Mpc。用GPS方法得到$H_0=(67.99\pm 1.94)$ km/s/Mpc,用WPR方法得到$H_0=(68.90\pm 1.96)$ km/s/Mpc。两者在$<1σ$ c.l.完全兼容,以及$H_0^{\rm P18}$。相反,它们与$H_0^{\rm HST}$处于$\sim 2σ$张力中。

英文摘要:

We derive new constraints on the Hubble parameter $H_0$ using the available data on $H(z)$ from cosmic chronometers (CCH), and the Hubble rate data points from the supernovae of Type Ia (SnIa) of the Pantheon compilation and the Hubble Space Telescope (HST) CANDELS and CLASH Multy-Cycle Treasury (MCT) programs. We employ two alternative techniques, Gaussian Processes (GPs) and the Weighted Polynomial Regression (WPR) method, to reconstruct the Hubble function, determine the derived values of $H_0$, and compare them with the local HST measurement provided by Riess {\it et al.} (2018), $H_0^{\rm HST}=(73.48\pm1.66)$ km/s/Mpc, and with the Planck+$Λ$CDM value, $H_0^{\rm P18}=(66.88\pm 0.92)$ km/s/Mpc. With GPs we obtain $H_0=(67.99\pm 1.94)$ km/s/Mpc, and with the WPR method $H_0=(68.90\pm 1.96)$ km/s/Mpc. Both are fully compatible at $<1σ$ c.l., and also with $H_0^{\rm P18}$. In contrast, they are in $\sim 2σ$ tension with $H_0^{\rm HST}$.

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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