论文标题
根据GW170817和GRB170817A修订的Ho红瓦重力的宇宙学限制以及大量中微子的堕落
Cosmological constraints on Hořava gravity revised in light of GW170817 and GRB170817A and the degeneracy with massive neutrinos
论文作者
论文摘要
我们修改了霍华瓦重力的宇宙学界限,考虑到GW170817和GRB170817A的重力波的传播速度的严格限制。鉴于这种情况,我们还研究了大规模中微子和Ho褐段重力之间的堕落性。我们表明,重力波的腔内传播抑制了大规模的宇宙微波背景(CMB)辐射温度各向异性和大量中微子的存在会增加这种影响。相反,较大的中微子质量可以补偿透镜,物质和原始B模式功率谱中Ho红瓦重力引起的修饰。在理论级别上,张量与尺度比率$ r $和大量中微子以及模型的参数之间发现了另一个变性。我们使用CMB,Supernovae型IA(SNIA),星系聚类和弱重力透镜测量结果分析了这些效果,我们显示了如何去除此类退化性。我们发现该模型的参数被限制为非常接近其一般相对性极限,并且相对于大爆炸核合成的约束,我们获得了两个数量级的上限,这是在有效的重力与牛顿的偏离方面的偏差。偏差信息标准表明,在仅考虑CMB数据时,在Ho树的重力中$σm_ν> 0 $,而所有数据集的关节分析都喜欢零中微子质量。
We revise the cosmological bounds on Hořava gravity taking into accounts the stringent constraint on the speed of propagation of gravitational waves from GW170817 and GRB170817A. In light of this we also investigate the degeneracy between massive neutrinos and Hořava gravity. We show that a luminal propagation of gravitational waves suppresses the large-scale Cosmic Microwave Background (CMB) radiation temperature anisotropies and the presence of massive neutrinos increases this effect. On the contrary large neutrinos mass can compensate the modifications induced by Hořava gravity in the lensing, matter and primordial B-mode power spectra. Another degeneracy is found, at theoretical level, between the tensor-to-scalar ratio $r$ and massive neutrinos as well as with the model's parameters. We analyze these effects using CMB, supernovae type Ia (SNIa), galaxy clustering and weak gravitational lensing measurements and we show how such degeneracies are removed. We find that the model's parameters are constrained to be very close to their General Relativity limits and we get a two orders of magnitude improved upper bound, with respect to the Big Bang Nucleosynthesis constraint, on the deviation of the effective gravitational constant from the Newtonian one. The deviance information criterion suggests that in Hořava gravity $Σm_ν>0$ is favored when CMB data only are considered, while the joint analysis of all datasets prefers zero neutrinos mass.