论文标题

下一代宇宙学实验可以检测到REES-SCIAMA效应吗?

Is the Rees-Sciama effect detectable by the next generation of cosmological experiments?

论文作者

Ferraro, Simone, Schaan, Emmanuel, Pierpaoli, Elena

论文摘要

结构的非线性生长会导致重力潜力随时间增长,这在宇宙微波背景(CMB)的小尺度温度波动上留下了烙印,该信号称为REES-SCIAMA(RS)效应。在以前的研究的基础上,我们在这里研究了RS效应的可检测性,通过互相关的即将进行的CMB和大规模结构调查。我们包括具有逼真的数量密度和偏见的示踪剂,即将进行的CMB实验和未来的CMB实验的逼真的噪声,重要的是,CMB前景对噪声预算的贡献。我们还得出了最佳的红移权重,这对于RS效应的红移核与电流和即将进行的星系调查的典型红移分布之间的不匹配而导致检测至关重要。与先前的工作一致,我们确认,当未将前景作为噪声的一部分中包括时,原则上可以通过“白噪声”版本的“白噪声”版本在很高的意义上检测到信号。然而,我们表明,前景的包含限制了信号的统计检测性:来自Rubin obervatory LSST的最佳加权高红移样品,以及CMB-S4或CMB-HD的CMB图,可以在获得信号到噪声6-8的情况下产生$ \ rias thit y-ell _ coss that thate-eld y-max $ rm max $ rm rm rm max} = 6-8时,可以产生一个noise 6-8的检测。受控。如果进一步降低了前景的总功率,例如通过更具侵略性的掩蔽,或者可以将信号模型模型为较小的尺度,则可以进行改进。

Non-linear growth of structure causes the gravitational potentials to grow with time, and this leaves an imprint on the small-scale temperature fluctuations of the Cosmic Microwave Background (CMB), a signal known as the Rees-Sciama (RS) effect. Building on previous studies, here we investigate the detectability of the RS effect by cross-correlating upcoming CMB and Large-Scale Structure surveys. We include tracers with realistic number density and bias, realistic noise for upcoming and future CMB experiments, and importantly, the contribution from CMB foregrounds to the noise budget. We also derive optimal redshift weights, which are crucial to the detection due to the mismatch between the redshift kernel of the RS effect and the typical redshift distribution of current and upcoming galaxy surveys. In agreement with previous work, we confirm that the signal would in principle be detectable at high significance by "white noise" versions of future CMB experiments, when foregrounds are not included as part of the noise. However, we show that inclusion of foregrounds limits the statistical detectability of the signal: an optimally-weighted high-redshift sample from Rubin Observatory LSST, together with CMB maps from CMB-S4 or CMB-HD, can yield a detection with signal-to-noise 6 - 8, when taking $\ell_{\rm max} = 6000$, provided that foreground-induced biases can be successfully controlled. Improvements are possible if the total power from foregrounds is further reduced, for example by more aggressive masking, or if the signal can be modeled down to smaller scales.

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