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首页> 外文期刊>The Astrophysical journal >COSMOLOGY IN THE NEXT MILLENNIUM. COMBlNING MICROWAVE ANISOTROPY PROBE AND SLOAN DIGITAL SKY SURVEY DATA TO CONSTRAIN INFLATlONARY MODELS
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COSMOLOGY IN THE NEXT MILLENNIUM. COMBlNING MICROWAVE ANISOTROPY PROBE AND SLOAN DIGITAL SKY SURVEY DATA TO CONSTRAIN INFLATlONARY MODELS

机译:下一个千年的宇宙学。将微波各向异性探针和斯隆数字天空调查数据进行比较以约束机翼模型

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The existence of primordial adiabatic Gaussian random-phase density fluctuations is a generic predic- tion of inflation. The properties of these fluctuations are completely specified by their power spectrum, Al(k). The basic cosmological parameters and the primordial power spectrum together completely specify predictions for the cosmic microwave background radiation anisotropy and large-scale structure. Here we show how we can strongly constrain both Al(k) and the cosmological parameters by combining data from the Microwave Anisotropy Probe (MAP) and the galaxy redshift survey from the Sloan Digital Sky Survey (SDSS). We allow Al(k) to be a free function, and thus probe features in the primordial power spectrum on all scales. If we assume that the cosmological parameters are known a priori and that galaxy bias is linear and scale-independent, and if we neglect nonlinear redshift distortions, the primor- dial power spectrum in 20 steps in log k to k < 0.5 h Mpc-1 can be determined to ~ l6 accuracy for k ~ 0,01 h Mpc-1, and to ~ 1 accuracy for k ~ 0.1 h Mpc- 1. The uncertainty in the primordial power spectrum increases by a factor of up to 3 on small scales if we solve simultaneously for the dimensionless Hubble constant h, the cosmological constant A, the baryon fraction Qb, the reionization optical depth Tri, and the effective bias between the matter density field and the redshift-space galaxy density field b_eff' Alternately, if we restrict Ai(k) to be a power law, we find that inclusion of the SDSS data breaks the degeneracy between the amplitude of the power spectrum a
机译:原始绝热高斯随机相密度波动的存在是通货膨胀的一般性预测。这些波动的性质完全由其功率谱Al(k)来指定。基本的宇宙学参数和原始功率谱一起完全说明了宇宙微波背景辐射各向异性和大规模结构的预测。在这里,我们展示了如何通过结合微波各向异性探测器(MAP)的数据和斯隆数字天空测量(SDSS)的星系红移测量来强力约束Al(k)和宇宙学参数。我们允许Al(k)是自由函数,因此可以在所有尺度上探查原始功率谱中的特征。如果我们假设宇宙学参数是先验的,并且银河系偏差是线性的并且与尺度无关,并且如果我们忽略非线性红移畸变,则原对数功率谱以log k到k <0.5 h进行20步Mpc-1可以确定为k〜0,01 h Mpc-1时〜16精度,以及k〜0.1 h Mpc-1时〜1精度。在小范围内,原始功率谱的不确定性增加多达3倍。如果我们同时求解无量纲的哈勃常数h,宇宙常数A,重子分数Qb,电离光学深度Tri以及物质密度场与红移空间星系密度场b_eff'之间的有效偏差,将Ai(k)限制为幂定律,我们发现SDSS数据的包含打破了功率谱a幅值之间的简并性

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