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arXiv 2011.01878astro-ph.CO
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星系计数中的平天近似——红移空间关联函数

The flat-sky approximation to galaxy number counts -- redshift space correlation function

Goran Jelic-Cizmek

AI总结:

本文研究星系计数中平天近似的精度与效率,发现其在红移较高时与全天结果高度一致,并通过半解析方法和 Limber 近似将多极矩计算速度提升超过一万倍,可用于加速宇宙学参数估计。

摘要:

我们研究了包含相对论效应的星系计数的平天近似,并评估了其相对于全天结果的表现和精度。我们发现,在 z > 0.5 时,两点关联函数及其多极矩的局域贡献和透镜贡献的一致性最高可达 5%;在 z > 1 且分离距离 ≲ 250 Mpc/h 时,仅多极矩的一致性可达 1%,同时计算速度提升超过 1000 倍。我们采用一种已在 COFFE 代码新版本中实现的半解析方法,并对积分贡献使用 Limber 近似,进一步提升了性能,使得平天多极矩的计算速度比全天计算快 10000 倍以上,这可用于大幅加速宇宙学参数估计的马尔可夫链蒙特卡洛采样。

英文摘要:

We study the flat-sky approximation for galaxy number counts including relativistic effects, and assess its performance and accuracy with respect to the full-sky result. We find an agreement of up to 5% for the local and lensing contributions to the 2-point correlation function and its multipoles at $z > 0.5$, and up to 1% for the multipoles alone at $z > 1$ and separations $\lesssim 250$ Mpc/$h$, with a speed-up of over a factor of 1000. Using a semi-analytic method, which has been implemented in a new version of the code COFFE, along with the Limber approximation for the integrated contributions, we further increase the performance, allowing the computation of the flat-sky multipoles to be done over 10000 times faster than in the full-sky calculation, which could be used to greatly speed-up Markov chain Monte Carlo sampling for cosmological parameter estimation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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