Boosting line intensity map signal-to-noise ratio with the Ly-α forest cross-correlation
Boosting line intensity map signal-to-noise ratio with the Ly-α forest cross-correlation
复制标题
利用 Ly-α-forest 互相关提高线强度图信噪比
DOI：
10.1093/mnras/stad1906
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发表时间：
2023
影响因子：
4.8
通讯作者：
Di Matteo, Tiziana
中科院分区：
文献类型：
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作者：
Qezlou, Mahdi;Bird, Simeon;Lidz, Adam;Sun, Guochao;Newman, Andrew B.;Rudie, Gwen C.;Ni, Yueying;Croft, Rupert;Di Matteo, Tiziana
我们预测了未来的线强度映射（LIM）调查与当前和未来的Ly-α森林测量的相互关联的前景。利用大型宇宙流体动力学模拟，我们模拟了CO Mapping Array Project LIM实验中5年基准的CO转动跃迁发射以及扩展重子声振荡（BOSS）、暗能量巡天仪（DESI）和Prime Focus多路光谱巡天（PFS）的Ly-α森林吸收信号。我们发现，CO × Ly-α森林显著提高了CO的探测信噪比（S/N），当与PFS Ly-α森林调查相关时，可提高到，而与现有的eBOSS或即将到来的DESI观测相关时，可提高50- 75%。这甚至可以与CO ×光谱星系巡天相媲美。此外，CO × Ly-α吸收模型的敏感性和简单性使得CO排放的聚集性受到CO × Ly-α森林的严格约束。LIM和Ly-α森林观测之间的前景污染或系统分类预计不会共享，从而提供无偏的推断。Ly-α森林将有助于检测第一个LIM信号。我们还估计，来自低温大孔径强度测绘实验和DESI/eBOSS的[Cii] × Ly-α森林测量值应该比计划中的[Cii] ×类星体观测值大一个数量级。
We forecast the prospects for cross-correlating future line intensity mapping (LIM) surveys with the current and future Ly-α forest measurements. Using large cosmological hydrodynamic simulations, we model the emission from the CO rotational transition in the CO Mapping Array Project LIM experiment at the 5-yr benchmark and the Ly-α forest absorption signal for extended Baryon Acoustic Oscillations (BOSS), Dark energy survey instrument (DESI), and Prime Focus multiplex Spectroscopy survey (PFS). We show that CO × Ly-α forest significantly enhances the detection signal-to-noise ratio (S/N) of CO, with up toimprovement when correlated with the PFS Ly-α forest survey and a 50–75 per cent enhancement with the available eBOSS or the upcoming DESI observations. This is competitive with even CO × spectroscopic galaxy surveys. Furthermore, our study suggests that the clustering of CO emission is tightly constrained by CO × Ly-α forest due to the increased sensitivity and the simplicity of Ly-α absorption modelling. Foreground contamination or systematics are expected not to be shared between LIM and Ly-α forest observations, providing an unbiased inference. Ly-α forest will aid in detecting the first LIM signals. We also estimate that [Cii] × Ly-α forest measurements from Experiment for Cryogenic Large-Aperture Intensity Mapping and DESI/eBOSS should have a larger S/N than planned [Cii] × quasar observations by about an order of magnitude.