arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1502.03994astro-ph.CO
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对星系成团的尺度依赖偏差的限制

Constraints on a scale-dependent bias from galaxy clustering

L. Amendola, E. Menegoni, C. Di Porto, M. Corsi, E. Branchini

摘要:

我们预测未来的限制尺度依赖的参数化的星系的偏见和它们的影响估计宇宙学参数的光谱红移调查测量的星系的功率谱。对于后者,我们假设一个广泛的调查在相对较大的红移,类似于计划的欧几里得调查,作为未来实验的基线。为了评估偏倚的影响,我们进行了Fisher矩阵分析,并采用了两种不同的尺度依赖偏倚参数化。星系偏差的基准模型校准使用模拟目录的H $α$发射星系模仿的对象,将有针对性的欧几里德调查的预期属性。在我们的分析中,我们得到了两个主要结果。首先,考虑到尺度依赖的偏差,除了密度波动的均方根幅度$σ_{8}$和增长指数$γ$之外,其他宇宙学参数的误差不会显著增加,其不确定性增加了一个因子,最多可达两个,这取决于所采用的偏差模型。第二,我们发现线性偏置参数$b_{0}$的精度在不同的红移范围内可以被估计到1- 2%,而与基准模型无关。非线性偏置参数具有取决于所采用的模型的显著大的误差。尽管如此,在更现实的情况下,偏离简单的线性偏差规定可以检测到一个$\sim2\,σ$的意义,在每个红移探索。最后,我们使用Fisher矩阵的形式主义,以评估的影响,假设一个不正确的偏差模型,发现在宇宙学参数上引起的系统误差是相似的,甚至大于统计的。

英文摘要:

We forecast the future constraints on scale-dependent parametrizations of galaxy bias and their impact on the estimate of cosmological parameters from the power spectrum of galaxies measured in a spectroscopic redshift survey. For the latter we assume a wide survey at relatively large redshifts, similar to the planned Euclid survey, as baseline for future experiments. To assess the impact of the bias we perform a Fisher matrix analysis and we adopt two different parametrizations of scale-dependent bias. The fiducial models for galaxy bias are calibrated using a mock catalogs of H$α$ emitting galaxies mimicking the expected properties of the objects that will be targeted by the Euclid survey. In our analysis we have obtained two main results. First of all, allowing for a scale-dependent bias does not significantly increase the errors on the other cosmological parameters apart from the rms amplitude of density fluctuations, $σ_{8}$, and the growth index $γ$, whose uncertainties increase by a factor up to two, depending on the bias model adopted. Second, we find that the accuracy in the linear bias parameter $b_{0}$ can be estimated to within 1-2\% at various redshifts regardless of the fiducial model. The non-linear bias parameters have significantly large errors that depend on the model adopted. Despite of this, in the more realistic scenarios departures from the simple linear bias prescription can be detected with a $\sim2\,σ$ significance at each redshift explored. Finally, we use the Fisher Matrix formalism to assess the impact of assuming an incorrect bias model and found that the systematic errors induced on the cosmological parameters are similar or even larger than the statistical ones.

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