论文标题

偏见的示踪剂的密度重建及其应用于原始非高斯性

Density reconstruction from biased tracers and its application to primordial non-Gaussianity

论文作者

Darwish, Omar, Foreman, Simon, Abidi, Muntazir M., Baldauf, Tobias, Sherwin, Blake D., Meerburg, P. Daniel

论文摘要

宇宙密度领域的大规模傅立叶模式对于学习宇宙学具有很大的价值,因为它们与早期宇宙中波动的关系充分理解。但是,宇宙方差通常会限制当使用这些模式在星系调查中测量的这些模式来限制模型参数时可以实现的统计精度,而且,由于观察性系统或前景,这些模式有时无法访问。对于某些应用,可以通过使用它们在观察到的示踪剂的较小规模模式(例如星系位置)之间诱导的相关性来重建大规模模式来规避这两种限制。在本文中,我们使用类似于用于宇宙微波背景的镜头的二次估计量进一步为这种重建提供了形式主义。我们从重力,非线性偏置和局部类型的原始非高斯语中纳入了非线性,并验证估计器是否在应用于N体模拟时会产生预期结果。然后,我们进行了几项即将进行的调查的预测,表明,与直接观察的示踪剂密度模式一起包括重建模式时,与标准单个示踪剂分析相比,对局部原始非陶斯性的限制通常会被数十万种粘稠度所拧紧。在某些情况下,这些改进是由取消宇宙方差取消的,重建的模式代替了单独的示踪剂模式,从而实现了单个示踪剂观察的有效“多阶段”方法。

Large-scale Fourier modes of the cosmic density field are of great value for learning about cosmology because of their well-understood relationship to fluctuations in the early universe. However, cosmic variance generally limits the statistical precision that can be achieved when constraining model parameters using these modes as measured in galaxy surveys, and moreover, these modes are sometimes inaccessible due to observational systematics or foregrounds. For some applications, both limitations can be circumvented by reconstructing large-scale modes using the correlations they induce between smaller-scale modes of an observed tracer (such as galaxy positions). In this paper, we further develop a formalism for this reconstruction, using a quadratic estimator similar to the one used for lensing of the cosmic microwave background. We incorporate nonlinearities from gravity, nonlinear biasing, and local-type primordial non-Gaussianity, and verify that the estimator gives the expected results when applied to N-body simulations. We then carry out forecasts for several upcoming surveys, demonstrating that, when reconstructed modes are included alongside directly-observed tracer density modes, constraints on local primordial non-Gaussianity are generically tightened by tens of percents compared to standard single-tracer analyses. In certain cases, these improvements arise from cosmic variance cancellation, with reconstructed modes taking the place of modes of a separate tracer, thus enabling an effective "multitracer" approach with single-tracer observations.

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