arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1808.03093astro-ph.CO
收藏

使用HI强度标测模拟多示踪剂分析

Simulated multi-tracer analyses with HI intensity mapping

Amadeus Witzemann, David Alonso, José Fonseca, Mario G. Santos

摘要:

我们使用全天空模拟,包括前景污染和去除的影响,探索多示踪剂之间的协同作用SKA的21厘米强度映射调查和LSST的光度星系红移调查。特别是,我们研究的两个示踪剂之间的自相关性和互相关性的比率估计的比率,他们的偏见,一个数量,应该大大受益于宇宙方差取消的多示踪剂的方法。我们如何以及我们应该能够测量的偏置比非常大的尺度(下至$\ell \sim 3$),这是至关重要的测量原始的非高斯性和广义相对论效应的大尺度结构。我们发现,在前景的情况下,但与现实的噪音水平,这样的调查,多示踪剂估计是能够提高一个大规模的方差污染测量的灵敏度的一个因素的$2-4$。当包括前景时,使用21 cm自相关的估计量变得有偏差。然而,我们发现,互相关估计是免疫的,不会招致任何重大的惩罚,从丢弃自相关数据的灵敏度方面。然而,长波长的径向模式的损失所造成的前景去除结合低红移分辨率的光度测量,降低了灵敏度的多示踪剂估计,虽然仍然优于宇宙方差污染的情况下,即使在无噪声的情况下。最后,我们探讨不同的替代途径,以避免这个问题。

英文摘要:

We use full sky simulations, including the effects of foreground contamination and removal, to explore multi-tracer synergies between a SKA-like 21cm intensity mapping survey and a LSST-like photometric galaxy redshift survey. In particular we study ratios of auto and cross-correlations between the two tracers as estimators of the ratio of their biases, a quantity that should benefit considerably from the cosmic variance cancellation of the multi-tracer approach. We show how well we should be able to measure the bias ratio on very large scales (down to $\ell \sim 3$), which is crucial to measure primordial non-Gaussianity and general relativistic effects on large scale structure. We find that, in the absence of foregrounds but with realistic noise levels of such surveys, the multi-tracer estimators are able to improve on the sensitivity of a cosmic-variance contaminated measurement by a factor of $2-4$. When foregrounds are included, estimators using the 21cm auto-correlation become biased. However, we show that cross-correlation estimators are immune to this and do not incur in any significant penalty in terms of sensitivity from discarding the auto-correlation data. However, the loss of long-wavelength radial modes caused by foreground removal in combination with the low redshift resolution of photometric surveys, reduces the sensitivity of the multi-tracer estimator, albeit still better than the cosmic variance contaminated scenario even in the noise free case. Finally we explore different alternative avenues to avoid this problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑