论文标题

关于$ Planck $温度功率谱的原始起源于LSS数据

On the primordial origin of the smoothing excess in the $Planck$ temperature power spectrum in light of LSS data

论文作者

Ballardini, Mario, Finelli, Fabio

论文摘要

{\ em planck} DR3测量值和极化各向异性的宇宙微波背景(CMB)的功率光谱显示,相对于$λ$ CDM的声峰平滑过多,通常由$λ$ CDM,通常由现象学参数$ a _ _ _ _ {\ rm L} $量化。已建议将叠加到原始功率谱的特定特征作为这种平滑过量的物理解决方案。在这里,我们研究了这种特定的局部振荡的影响,并在波数中使用频率线性,旨在模仿对应于$ a _ {\ rm l} \ simeq 1.1-1.2 $的CMB温度频谱的平滑性。我们通过一组N体模拟验证了近次领导顺序的扰动理论中预测的好处,这是研究这些原始振荡的非线性阻尼的必要步骤。我们表明,对于参数空间的很大一部分,这种原始振荡的幅度可以在观察到的非线性物质功率谱上强烈降低,但在$ z = 0 $处,但是在$ z \ lyssim 2 $上仍然持久持续持续,因此是对未来的Galaxy Surveys在高红色速度上的目标。从对BOSS DR12两点相关函数的分析中,我们找到了$ {\ cal a} _ {\ rm lin} <0.26 $在95 \%cl下,通过保持频率固定到{\ em planck}数据的最佳拟合中。

The {\em Planck} DR3 measurements of the temperature and polarization anisotropies power spectra of the cosmic microwave background (CMB) show an excess of smoothing of the acoustic peaks with respect to $Λ$CDM, often quantified by a phenomenological parameter $A_{\rm L}$. A specific feature superimposed to the primordial power spectrum has been suggested as a physical solution for this smoothing excess. Here, we investigate the impact of this specific localized oscillation with a frequency linear in the wavenumber, designed to mimic the smoothing of CMB temperature spectrum corresponding to $A_{\rm L} \simeq 1.1-1.2$ on the matter power spectrum. We verify the goodness of the predictions in perturbation theory at next-to-leading order with a set of N-body simulations, a necessary step to study the non-linear damping of these primordial oscillations. We show that for a large portion of the parameter space, the amplitude of this primordial oscillation can be strongly damped on the observed nonlinear matter power spectrum at $z=0$, but a larger signal is still persistent at $z \lesssim 2$ and is therefore a target for future galaxy surveys at high redshifts. From an analysis of the BOSS DR12 two-point correlation function, we find ${\cal A}_{\rm lin} < 0.26$ at 95\% CL by keeping the frequency fixed to the best-fit of {\em Planck} data.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源