论文标题

高分辨率层析成像,用于与角度红移波动的星系光谱调查

High resolution tomography for galaxy spectroscopic surveys with angular redshift fluctuations

论文作者

Legrand, Louis, Hernández-Monteagudo, Carlos, Douspis, Marian, Aghanim, Nabila, Angulo, Raúl E.

论文摘要

在下一代光谱星系调查的背景下,目前正在开发有关物质分布的新统计数据。其中,我们研究了角度红移波动(ARF),该波动探测了星系的预计红移分布中包含的信息。依靠Fisher形式主义,我们展示了与传统的角度星系聚类相比,ARF将如何提供互补的宇宙学信息。我们测试了标准$ \ Mathrm {λCDM} $模型和$ \ Mathrm {WCDM} $ Extension。我们发现,当从ARF或角星系聚类推断时,宇宙和星系偏置参数表达不同的退化性。因此,将两个可观察到的分类结合在一起,可以打破这些脱节性,并大大减少边缘化的不确定性,至少在大多数参数上,对于$ \ mathrm {λcdm} $和$ \ mathrm {wcdm} $型号。我们发现,ARF与角星系聚类相结合,通过增加$ W_0 $ - $ W _ {\ rm a} $参数的功绩来探测黑暗能量的好方法,而与单独的角膜聚类相比,设置了超过十倍。最后,我们将ARF与星系偏置参数上的CMB镜头约束进行了比较。我们表明,与角度星系簇和CMB镜头的联合分析相比,对ARF和角星系聚类的联合分析将限制提高了$ \ sim 40 \%$。

In the context of next-generation spectroscopic galaxy surveys, new statistics of the distribution of matter are currently being developed. Among these, we investigated the angular redshift fluctuations (ARF), which probe the information contained in the projected redshift distribution of galaxies. Relying on the Fisher formalism, we show how ARF will provide complementary cosmological information compared to traditional angular galaxy clustering. We tested both the standard $\mathrm{ΛCDM}$ model and the $\mathrm{wCDM}$ extension. We find that the cosmological and galaxy bias parameters express different degeneracies when inferred from ARF or from angular galaxy clustering. As such, combining both observables breaks these degeneracies and greatly decreases the marginalised uncertainties by a factor of at least two on most parameters for the $\mathrm{ΛCDM}$ and $\mathrm{wCDM}$ models. We find that the ARF combined with angular galaxy clustering provide a great way to probe dark energy by increasing the figure of merit of the $w_0$-$w_{\rm a}$ parameter set by a factor of more than ten compared to angular galaxy clustering alone. Finally, we compared ARF to the CMB lensing constraints on the galaxy bias parameters. We show that a joint analysis of ARF and angular galaxy clustering improves constraints by $\sim 40\%$ on galaxy bias compared to a joint analysis of angular galaxy clustering and CMB lensing.

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