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Astrophysics > Cosmology and Nongalactic Astrophysics

arXiv:1608.00372 (astro-ph)
[Submitted on 1 Aug 2016 (v1) , last revised 28 Feb 2017 (this version, v4)]

Title: Constraining the EoR model parameters with the 21cm bispectrum

Title: 用21厘米双谱约束再电离模型参数

Authors:Hayato Shimabukuro, Shintaro Yoshiura, Keitaro Takahashi, Shuichiro Yokoyama, Kiyotomo Ichiki
Abstract: We perform a Fisher analysis to estimate the expected constraints on the Epoch of Reionization (EoR) model parameters (i.e., minimum virial temperature, the ionizing efficiency and the mean free path of ionizing photons) taking into account the thermal noise of the exisitting telescopes, MWA and LOFAR. We consider how the inclusion of the 21cm bispectrum improves the constraints compared to using the power spectrum alone. Assuming that we perfectly remove the foreground, we found that the bispectrum, which is calculated by the 21cmFAST code, can constrain the EoR model parameters more tightly than the power spectrum since the bispectrum is more sensitive to the EoR model parameters than the power spectrum. We also found that degeneracy between the EoR model parameters can be broken by combining the bispectrum with the power spectrum.
Abstract: 我们进行费舍尔分析以估计在考虑现有望远镜MWA和LOFAR的热噪声的情况下,再电离时代(EoR)模型参数(即最小维里温度、电离效率和电离光子的平均自由程)的预期约束。 我们考虑了21cm三阶谱相比仅使用功率谱时如何改善约束。 假设我们能够完美去除前景信号,我们发现由21cmFAST代码计算的三阶谱比功率谱更能严格约束EoR模型参数,因为三阶谱比功率谱对EoR模型参数更敏感。 我们还发现,通过将三阶谱与功率谱结合,可以打破EoR模型参数之间的简并性。
Comments: 11 pages, 7 figures, accepted in MNRAS
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Cite as: arXiv:1608.00372 [astro-ph.CO]
  (or arXiv:1608.00372v4 [astro-ph.CO] for this version)
  https://doi.org/10.48550/arXiv.1608.00372
arXiv-issued DOI via DataCite
Journal reference: Mon Not R Astron Soc (2017) 468 (2): 1542-1550
Related DOI: https://doi.org/10.1093/mnras/stx530
DOI(s) linking to related resources

Submission history

From: Hayato Shimabukuro [view email]
[v1] Mon, 1 Aug 2016 10:04:04 UTC (267 KB)
[v2] Tue, 2 Aug 2016 09:27:27 UTC (267 KB)
[v3] Tue, 16 Aug 2016 11:53:38 UTC (266 KB)
[v4] Tue, 28 Feb 2017 15:51:25 UTC (276 KB)
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