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arXiv 2205.06648astro-ph.CO
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类星体红移误差对Lyman- $α$森林关联函数的影响

The effect of quasar redshift errors on Lyman-$α$ forest correlation functions

Samantha Youles, Julian E. Bautista, Andreu Font-Ribera, David Bacon, James Rich, David Brooks, Tamara M. Davis, Kyle Dawson, Govinda Dhungana, Peter Doel, Kevi… 展开作者

Samantha Youles, Julian E. Bautista, Andreu Font-Ribera, David Bacon, James Rich, David Brooks, Tamara M. Davis, Kyle Dawson, Govinda Dhungana, Peter Doel, Kevin Fanning, Enrique Gaztañaga, Satya Gontcho A Gontcho, Alma X. Gonzalez-Morales, Julien Guy, Klaus Honscheid, Vid Iršič, Robert Kehoe, David Kirkby, Theodore Kisner, Martin Landriau, Laurent Le Guillou, Michael E. Levi, Axel de la Macorra, Paul Martini, Andrea Muñoz-Gutiérrez, Nathalie Palanque-Delabrouille, Ignasi Pérez-Ràfols, Claire Poppett, César Ramírez-Pérez, Michael Schubnell, Gregory Tarlé, Michael Walther

摘要:

利用暗能量光谱仪(DESI)巡天的合成$α$森林,我们研究了类星体红移估计误差对$α$关联函数的影响。由于类星体发射线的宽度和相对于其他发射线的本征位移,类星体红移的估计有几百个$\text{km s}^{-1}\,$的不确定性。我们在模拟类星体星表中注入高斯随机红移误差,测量了自相关函数和$α$ -类星体交叉关联函数。我们发现在径向方向上的BAO功能的涂抹,但在峰值位置的变化是可以忽略不计的。然而,我们看到了一个显着的非物理相关的小分离横向的视线增加的幅度的红移误差。我们解释这种污染的结果,在测量的平均连续谱中,由类星体红移误差引起的发射线的加宽,结合不切实际的强集群的模拟类星体在小尺度上。

英文摘要:

Using synthetic Lyman-$α$ forests from the Dark Energy Spectroscopic Instrument (DESI) survey, we present a study of the impact of errors in the estimation of quasar redshift on the Lyman-$α$ correlation functions. Estimates of quasar redshift have large uncertainties of a few hundred $\text{km s}^{-1}\,$ due to the broadness of the emission lines and the intrinsic shifts from other emission lines. We inject Gaussian random redshift errors into the mock quasar catalogues, and measure the auto-correlation and the Lyman-$α$-quasar cross-correlation functions. We find a smearing of the BAO feature in the radial direction, but changes in the peak position are negligible. However, we see a significant unphysical correlation for small separations transverse to the line of sight which increases with the amplitude of the redshift errors. We interpret this contamination as a result of the broadening of emission lines in the measured mean continuum, caused by quasar redshift errors, combined with the unrealistically strong clustering of the simulated quasars on small scales.

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