论文标题
使用线性点标准尺的未来星系调查的宇宙学预测:朝着一致的BAO分析远非基准宇宙学
Cosmological forecasts for future galaxy surveys with the linear point standard ruler: Toward consistent BAO analyses far from a fiducial cosmology
论文作者
论文摘要
线性点(LP)标准标准器被确定为利用Baryon声学振荡(BAO)的纯几何方法的基础。 LP利用印迹的BAO特征在Galaxy两点相关函数中,以测量与任何特定宇宙学模型无关的宇宙学距离。我们预测未来和持续光谱星系调查的预期精度是测量利用线性点的距离。我们研究了我们预测结果的宇宙学含义。我们特别关注一个相关的工作示例:与其他宇宙学探针无关的晚期宇宙加速度检测。我们的发现表明,即使在LCDM标准宇宙学范式中,估计的距离也必须在非常宽的参数范围内可靠,以实现它们的最大效用。如果我们旨在正确地表征宇宙学紧张局势,这尤其重要。 LP是实现此可靠性的有前途的候选方法。相比之下,在BAO分析中,广泛采用的程序估计距离将固定的宇宙学参数保持在平面-LCDM中接近宇宙 - 微波靠地面约束的基准值。目前尚不清楚它们是否纯粹是几何方法。此外,他们依靠未经测试的外推探索参数空间,远离那些基准的扁平LCDM值。我们建议在所有模型和参数中验证所有BAO方法,并首先通过线性预测和N体模拟来引用其结果。
The linear point (LP) standard ruler was identified as the basis of a purely geometric method for exploiting the Baryon Acoustic Oscillations (BAO). The LP exploits the BAO feature imprinted in the galaxy two-point correlation function to measure cosmological distances independent of any specific cosmological model. We forecast the expected precision of future and ongoing spectroscopic galaxy surveys to measure distances leveraging the linear point. We investigate the cosmological implications of our forecasted results. We focus in particular on a relevant working example: the detection of the late-time cosmic acceleration independent of other cosmological probes. Our findings show that, even within the LCDM standard cosmological paradigm, estimated distances need to be reliable over a very wide parameter range in order to realize their maximum utility. This is particularly relevant if we aim to properly characterize cosmological tensions. The LP is a promising candidate approach to achieve this reliability. In contrast, widely employed procedures in BAO analysis estimate distances keeping fixed cosmological parameters to fiducial values close to cosmic-microwave-background constraints in flat-LCDM. It is unclear whether they are purely geometric methods. Moreover, they rely on untested extrapolations to explore the parameter space away from those fiducial flat-LCDM values. We recommend that all BAO methodologies be validated across the full range of models and parameters over which their results are quoted, first by means of linear predictions and then N-body simulations.