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Forecast for weighing neutrinos in cosmology with SKA
Science China Physics, Mechanics & Astronomy ( IF 6.4 ) Pub Date : 2020-04-13 , DOI: 10.1007/s11433-019-1516-y
Jing-Fei Zhang , Bo Wang , Xin Zhang

We investigate what role the SKA neutral hydrogen (HI) intensity mapping (IM) and galaxy sky surveys will play in weighing neutrinos in cosmology. We use the simulated data of the baryon acoustic oscillation (BAO) measurements from the HI surveys based on SKA1 (IM) and SKA2 (galaxy) to do the analysis. For the current observations, we use the Planck 2015 cosmic microwave background (CMB) anisotropies observation, the optical BAO measurements, the type Ia supernovae (SN) observation (Pantheon compilation), and the latest H0 measurement. We consider three mass ordering cases for massive neutrinos, i.e., the normal hierarchy (NH), inverted hierarchy (IH), and degenerate hierarchy (DH) cases. It is found that the SKA observation can significantly improve the constraints on Ωm and H0. Compared to the current observation, the SKA1 data can improve the constraints on Ωm by about 33%, and on H0 by about 36%; the SKA2 data can improve the constraints on Ωm by about 58%, and on H0 by about 66%. It is also found that the SKA observation can only slightly improve the constraints on ∑mv. Compared to the current observation, the SKA1 data can improve the constraints on ∑mv by about 4%, 3%, and 10%, for the NH, IH, and DH cases, respectively; the SKA2 data can improve the constraints on ∑mv by about 7%, 7%, and 16%, for the NH, IH, and DH cases, respectively.

中文翻译:

使用SKA预测宇宙学中的中微子重量

我们研究了SKA中性氢(HI)强度分布图(IM)和星系天空测量在宇宙学中称重中微子中将扮演什么角色。我们使用基于SKA1(IM)和SKA2(银河系)的HI调查中的重子声振荡(BAO)测量结果的模拟数据进行分析。对于当前的观测,我们使用普朗克2015宇宙微波本底(CMB)各向异性观测,光学BAO测量,Ia型超新星(SN)观测(万神殿编译)和最新的H 0测量。我们考虑了大中微子的三种质量排序情况,即正常等级(NH),倒置等级(IH)和退化等级(DH)情况。据发现,SKA观察可以显著提高Ω的约束H 0。相比,目前的观察,SKA1数据可以改善Ω的约束上由约33%,和^ h 0由约36%; 该SKA2数据可以改善Ω的约束约58%,并且ħ 0约66%。还发现,SKA观测只能稍微改善对∑ m v的约束。与目前的观察相比,对于NH,IH和DH情况,SKA1数据分别可以将∑ m v的约束条件分别提高约4%,3%和10%。SKA2数据可以改善对∑ m v的约束 对于NH,IH和DH病例,分别降低了约7%,7%和16%。
更新日期:2020-04-13
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