LyMAS reloaded: improving the predictions of the large-scale Lyman- α forest statistics from dark matter density and velocity fields
LyMAS reloaded: improving the predictions of the large-scale Lyman- α forest statistics from dark matter density and velocity fields
复制标题
LyMAS 重装上阵：改进暗物质密度和速度场对大规模 Lyman-α 森林统计数据的预测
DOI：
10.1093/mnras/stac1344
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发表时间：
2022
影响因子：
4.8
通讯作者：
Devriendt, J
中科院分区：
文献类型：
--
作者：
Peirani, S;Prunet, S;Colombi, S;Pichon, C;Weinberg, D H;Laigle, C;Lavaux, G;Dubois, Y;Devriendt, J
我们提出了LyMAS2，这是“Lyman-α质量关联方案”的改进版本，旨在通过对暗物质（DM）分布的中分辨率模拟预测Lyman-α森林（Lyα）的大规模3D聚类统计，并通过对小体积的高分辨率流体动力学模拟进行预先校准。在这项研究中，校准来自horizon - agnsuite模拟，(100 Mpch) - 3移动体积，使用维纳滤波，结合DM密度和速度场的信息（即速度弥散，涡度，视线1d -散度和3d -散度）。在考虑SDSS-III BOSS巡天的光谱分辨率和不同的DM平滑（0.3、0.5和1.0 Mpch−1移动）的情况下，所有新的预测都是在红移空间中以z= 2.5完成的。我们尝试了DM场的不同组合，发现LyMAS2应用于horizo - noagndm场，显著提高了Lyα3D聚类统计的预测，特别是当DM过密度与速度弥散或涡度场相关时。与流体动力学模拟趋势相比，LyMAS2生成的伪光谱的两点相关函数即使在高角度下也能恢复到相对差约5%，通量一维功率谱（沿视线方向）和通量一维概率分布函数精确地恢复到相对差约2%。最后，我们制作了几个大型模拟BOSS光谱（1.0和1.5 Gpch−1），预计会导致更可靠和准确的理论预测。
We present LyMAS2, an improved version of the ‘Lyman-αMass Association Scheme’ aiming at predicting the large-scale 3D clustering statistics of the Lyman-αforest (Lyα) from moderate-resolution simulations of the dark matter (DM) distribution, with prior calibrations from high-resolution hydrodynamical simulations of smaller volumes. In this study, calibrations are derived from theHorizon-AGNsuite simulations, (100 Mpch)−3comoving volume, using Wiener filtering, combining information from DM density and velocity fields (i.e. velocity dispersion, vorticity, line-of-sight 1D-divergence and 3D-divergence). All new predictions have been done atz= 2.5 in redshift space, while considering the spectral resolution of the SDSS-III BOSS Survey and different DM smoothing (0.3, 0.5, and 1.0 Mpch−1comoving). We have tried different combinations of DM fields and found that LyMAS2, applied to theHorizon-noAGNDM fields, significantly improves the predictions of the Lyα3D clustering statistics, especially when the DM overdensity is associated with the velocity dispersion or the vorticity fields. Compared to the hydrodynamical simulation trends, the two-point correlation functions of pseudo-spectra generated with LyMAS2 can be recovered with relative differences of ∼5 per cent even for high angles, the flux 1D power spectrum (along the light of sight) with ∼2 per cent and the flux 1D probability distribution function exactly. Finally, we have produced several large mock BOSS spectra (1.0 and 1.5 Gpch−1) expected to lead to much more reliable and accurate theoretical predictions.