AI 中文总结
本研究预测WEAVE-QSO巡天的一维莱曼α森林功率谱测量，可在z≥4时以约4.5σ显著性直接探测并表征斑块状氢再电离的大尺度残余印记。
AI 中文摘要
我们首次针对WEAVE-QSO巡天将测量的一维莱曼α（Lyα）森林功率谱中斑块状氢再电离的可探测性，给出详细预测。利用Sherwood-relics再电离模拟及WEAVE-QSO巡天配置，我们生成四个红移区间（z=4.0、4.2、4.4和4.6）的模拟光谱，其中斑块状氢再电离产生的残余电离与温度涨落会在大尺度（即波数k~10⁻³ s·km⁻¹处）增强Lyα森林功率谱。我们的Lyα森林管道通过考虑样本量、光谱分辨率、噪声扣除、连续谱定位、金属污染及高柱密度吸收体的阻尼翼，预测功率谱协方差。在贝叶斯参数推断框架内应用该协方差预测后，我们发现斑块状氢再电离的特征应能以约4.5σ的显著性被探测到。因此，即将开展的WEAVE-QSO一维功率谱测量应能直接探测并表征z≥4时Lyα森林功率谱中斑块状氢再电离的大尺度残余印记。
英文摘要
We present the first detailed forecasts for the detectability of patchy hydrogen reionization in the one-dimensional Ly$α$ forest power spectrum to be measured by the WEAVE-QSO survey. Using the Sherwood-relics reionization simulations and a WEAVE-QSO survey configuration, we generate mock spectra in four redshift bins, $z=4.0,4.2,4.4,$ and $4.6$, in which relic ionization and temperature fluctuations from patchy hydrogen reionization enhance the Ly$α$ forest power spectrum on large scales (i.e., at wavenumber $k\sim 10^{-3},\mathrm{s\,km^{-1}}$). Our Ly$α$ forest pipeline forecasts the power spectrum covariance by considering sample size, spectral resolution, noise subtraction, continuum placement, metal contamination, and damping wings from high-column density absorbers. Applying our covariance forecast within a Bayesian parameter inference framework, we find that the signature of patchy hydrogen reionization should be detectable at a significance of $\simeq 4.5σ$. The forthcoming WEAVE-QSO 1D power spectrum measurements should therefore be able to directly detect and characterize the large-scale relic imprint of patchy hydrogen reionization in the Ly$α$ forest power spectrum at $z\geq 4$.
Comments15 pages, 13 figures, 1 table, submitted to MNRAS
