论文标题

建模物质和红移空间中有偏见的示踪剂的明显光谱

Modeling the Marked Spectrum of Matter and Biased Tracers in Real- and Redshift-Space

论文作者

Philcox, Oliver H. E., Aviles, Alejandro, Massara, Elena

论文摘要

我们介绍了物质和红移空间中物质密度和有偏见的示踪剂的功率谱的单层扰动理论。该统计数据已显示出对宇宙学参数产生令人印象深刻的限制。为了利用这一点,我们需要一个准确且计算便宜的理论模型。与$ n $ body模拟的比较表明,线性理论在所有尺度上都失败了,但是包含一环有效的现场理论项可带来实质性的改进,$ \ sim 5 \%$ $准确度在$ z = 1 $。该扩展在红移空间(实现$ \ sim 10 \%$精度)中的收敛性较小,但是由于偏置系数的自由度,偏置示踪剂有显着改善。大规模理论包含所有扰动秩序的不可忽略的贡献。我们建议对该理论进行重组,该理论包含与大型相关的所有术语,讨论了其在Infinite-Loop处的一环和结构的明确形式。这激发了一个低$ K $校正项,导致模型在大尺度上的准确性,尽管其中包含两个(3)个自由系数,并在实时(RedShift-)空间中包含。我们进一步考虑了大规模中微子的影响,表明在实践中,超出对扰动核的校正是可以忽略的。仍然需要查看宇宙学参数中所谓的收益是否对有偏见的示踪剂有效,并且可以被理论模型捕获。

We present the one-loop perturbation theory for the power spectrum of the marked density field of matter and biased tracers in real- and redshift-space. The statistic has been shown to yield impressive constraints on cosmological parameters; to exploit this, we require an accurate and computationally inexpensive theoretical model. Comparison with $N$-body simulations demonstrates that linear theory fails on all scales, but inclusion of one-loop Effective Field Theory terms gives a substantial improvement, with $\sim 5\%$ accuracy at $z = 1$. The expansion is less convergent in redshift-space (achieving $\sim 10\%$ accuracy), but there are significant improvements for biased tracers due to the freedom in the bias coefficients. The large-scale theory contains non-negligible contributions from all perturbative orders; we suggest a reorganization of the theory that contains all terms relevant on large-scales, discussing both its explicit form at one-loop and structure at infinite-loop. This motivates a low-$k$ correction term, leading to a model that is sub-percent accurate on large scales, albeit with the inclusion of two (three) free coefficients in real- (redshift-)space. We further consider the effects of massive neutrinos, showing that beyond-EdS corrections to the perturbative kernels are negligible in practice. It remains to see whether the purported gains in cosmological parameters remain valid for biased tracers and can be captured by the theoretical model.

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