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首页> 外文期刊>The Astrophysical journal >H0 Reconstruction with Type Ia Supernovae, Baryon Acoustic Oscillation and Gravitational Lensing Time Delay
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H0 Reconstruction with Type Ia Supernovae, Baryon Acoustic Oscillation and Gravitational Lensing Time Delay

机译:H0重建与IA型超新星,Baryon声学振荡和重力透镜时间延迟

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There is a persistent H _(0)-tension, now at more than ?4σ level, between the local distance ladder value and the Planck cosmic microwave background measurement, in the context of flat Lambda-cold-dark-matter (ΛCDM) model. We reconstruct H (z ) in a cosmological-model-independent way using three low-redshift distance probes including the latest data from baryon acoustic oscillation, supernova Ia (SN Ia) and gravitational lensing time-delay (GLTD) observations. We adopt general parametric models of H (z ) and assume a Gaussian sound horizon at drag epoch, , from Planck measurement. The reconstructed Hubble constant H _(0,rec) using Pantheon SN Ia and Baryon Acoustic Oscillations (BAO) data are consistent with the Planck flat ΛCDM value. When including the GLTD data, H _(0,rec) increases mildly, yet remains discrepant with the local measurement at ~2.2σ level. With our reconstructions being blind to the dark sectors at low redshift, we reaffirm the earlier claims that the Hubble tension is not likely to be solved by modifying the energy budget of the low-redshift universe. We further forecast the constraining ability of future realistic mock BAO data from Dark Energy Spectroscopic Instrument and GLTD data from Large Synoptic Survey Telescope, combining which, we anticipate that the uncertainty of H _(0,rec) would be improved by ~27%, reaching uncertainty level.
机译:存在持久的 h _(0) - 现在在局部距离梯形图和普朗克宇宙微波背景测量的局部距离λ冷 - 暗物质(λcdm)模型。我们以三个低红移距离探头在宇宙学 - 模型的方式中重建 h( z),包括来自Baryon声学振荡的最新数据,SuperNova Ia(Sn Ia)和重力透镜时滞(GLTD )观察。我们采用了 h( z)的一般参数模型,并在拖动时,从Planck测量假设高斯Sound Horizo​​ n。使用万神殿Sn IA和BANEON声学振荡(BAO)数据的重建霍尔常数 H _(0,REC)与普朗克平坦λcdm值一致。当包括GLTD数据时, H _(0,REC)温和地增加,但在〜2.2 Σ电平下局部测量保持差异。通过我们的重建对低红移的黑暗部门视而不见,我们重申了先前声称,通过修改低红板宇宙的能量预算,不太可能解决哈勃张力。我们进一步预测了来自大型舞蹈调查望远镜的暗能谱仪器和GLTD数据的未来现实模拟BAO数据的约束能力,结合了这一点,我们预计将通过〜改善 H _(0,REC)的不确定性〜 27%,达到不确定性水平。

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