论文标题
当前使用红移和缩放中的Binning对一般相对论的偏差限制
Current constraints on deviations from General Relativity using binning in redshift and scale
论文作者
论文摘要
我们限制了与一般相对论（GR）的偏差，包括修饰的重力（MG）参数中的红移和比例依赖性。特别是，我们采用了不足的融合方法，并将结果与功能形式进行了比较。我们使用可用的数据集，例如Planck 2018的宇宙微波背景（CMB），Baryonic声学振荡（BAO）（BAO）和Redshift空间扭曲（BAO/RSD）（BOSS DR12），6DF Galaxy调查，SDSS DR7主要的Galaxy样品，来自lyman-$ $ sefters y lyman-yforest and lyman-prosss and lyman-yforest and lyman-prosss and lyman-prosss and lyman-prosss and lyman-prossord and lyman-prossord and lyman-prosss and lyman-prosss and y lyman-proff s。来自万神殿汇编和des y1数据的超新星IA型（SNE）。此外，为了最大程度地利用可用数据集的约束功率，我们分析了MG模型，在其中我们将某些MG参数设置为其GR值并改变其他参数。使用功能表格，我们发现使用Planck+SNE+SNE+BAO+RSD时，最多3.5- $σ$张力在$σ$中（而$μ$固定）；当包含镜头数据时，即CMB镜头和DES（CMBL+DES），这将消失。使用不同的binning方法，我们发现在（高Z，High-k）bin中具有高于2- $σ$的张力即使在包括cmbl+des to planck+sne+sne+sne+bao+rsd时，也是持久的。另外，我们在（Low-Z，High-k）bin中发现了另一个高于2- $σ$的张力，但是可以通过添加镜头数据来减少这种张力。此外，我们使用偏差信息准则统计工具进行模型比较，发现MG模型（$μ= 1 $，$σ$）受到数据的弱青睐，而不是$λ$ CDM，除非包括DES数据。另一个值得注意的结果是，我们发现binning方法与广泛使用的功能参数化不一致，其中Mg参数与$ω_ {\ text {de}}（a）$成比例，这在高Z和HIGH-K型中显而易见。
We constrain deviations from general relativity (GR) including both redshift and scale dependencies in the modified gravity (MG) parameters. In particular, we employ the under-used binning approach and compare the results to functional forms. We use available datasets such as Cosmic Microwave Background (CMB) from Planck 2018, Baryonic Acoustic Oscillations (BAO) and Redshift Space Distortions (BAO/RSD) from the BOSS DR12, the 6DF Galaxy Survey, the SDSS DR7 Main Galaxy Sample, the correlation of Lyman-$α$ forest absorption and quasars from SDSS-DR14, Supernova Type Ia (SNe) from the Pantheon compilation, and DES Y1 data. Moreover, in order to maximize the constraining power from available datasets, we analyze MG models where we alternatively set some of the MG parameters to their GR values and vary the others. Using functional forms, we find an up to 3.5-$σ$ tension with GR in $Σ$ (while $μ$ is fixed) when using Planck+SNe+BAO+RSD; this goes away when lensing data is included, i.e. CMB lensing and DES (CMBL+DES). Using different binning methods, we find that a tension with GR above 2-$σ$ in the (high-z, high-k) bin is persistent even when including CMBL+DES to Planck+SNe+BAO+RSD. Also, we find another tension above 2-$σ$ in the (low-z, high-k) bin, but that can be reduced with the addition of lensing data. Furthermore, we perform a model comparison using the Deviance Information Criterion statistical tool and find that the MG model ($μ=1$, $Σ$) is weakly favored by the data compared to $Λ$CDM, except when DES data is included. Another noteworthy result is that we find that the binning methods do not agree with the widely-used functional parameterization where the MG parameters are proportional to $Ω_{\text{DE}}(a)$, and this is clearly apparent in the high-z and high-k regime where this parameterization underestimates the deviations from GR.
