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arXiv 2005.00055astro-ph.CO
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欧几里德:光度欧几里德巡天中星系团和弱透镜互相关的重要性

Euclid: The importance of galaxy clustering and weak lensing cross-correlations within the photometric Euclid survey

I. Tutusaus, M. Martinelli, V. F. Cardone, S. Camera, S. Yahia-Cherif, S. Casas, A. Blanchard, M. Kilbinger, F. Lacasa, Z. Sakr, S. Ilić, M. Kunz, C. Carbone, F… 展开作者

I. Tutusaus, M. Martinelli, V. F. Cardone, S. Camera, S. Yahia-Cherif, S. Casas, A. Blanchard, M. Kilbinger, F. Lacasa, Z. Sakr, S. Ilić, M. Kunz, C. Carbone, F. J. Castander, F. Dournac, P. Fosalba, T. Kitching, K. Markovic, A. Mangilli, V. Pettorino, D. Sapone, V. Yankelevich, N. Auricchio, R. Bender, D. Bonino, A. Boucaud, M. Brescia, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, R. Cledassou, G. Congedo, L. Conversi, L. Corcione, A. Costille, M. Cropper, F. Dubath, S. Dusini, G. Fabbian, M. Frailis, E. Franceschi, B. Garilli, F. Grupp, L. Guzzo, H. Hoekstra, F. Hormuth, H. Israel, K. Jahnke, S. Kermiche, B. Kubik, R. Laureijs, S. Ligori, P. B. Lilje, I. Lloro, E. Maiorano, O. Marggraf, R. Massey, S. Mei, E. Merlin, G. Meylan, L. Moscardini, P. Ntelis, C. Padilla, S. Paltani, F. Pasian, W. J. Percival, S. Pires, M. Poncet, F. Raison, J. Rhodes, M. Roncarelli, E. Rossetti, R. Saglia, P. Schneider, A. Secroun, S. Serrano, C. Sirignano, G. Sirri, J. Starck, F. Sureau, A. N. Taylor, I. Tereno, R. Toledo-Moreo, L. Valenziano, Y. Wang, N. Welikala, J. Weller, A. Zacchei, J. Zoubian

摘要:

来自欧几里得任务的数据将能够测量超过10亿个星系的光度红移,角位置和弱透镜形状。这个大型数据集将允许使用星系的角聚类和宇宙剪切进行宇宙学分析。这些探针之间的互相关(XC)可以收紧约束,因此量化它们对欧几里得的影响很重要。在这项研究中,我们仔细量化XC的影响,不仅对最终的参数约束不同的宇宙学模型,而且对滋扰参数。特别是,我们的目标是了解额外的信息,XC可以提供的参数编码系统的影响,如星系的偏见或内在的路线(IA)。我们遵循Euclid Collaboration:Blanchard et al.(2019)中提出的形式主义,并利用其中验证的代码。我们发现,XC提高了暗能量品质因数(FoM)的一个因素$\sim 5$,同时它也减少了$\sim 17\%$和IA的不确定性的因素$\sim 4$的星系偏差的不确定性。我们观察到,XC的最终参数约束的作用是定性相同的,无论使用的星系偏置模型。我们还表明,XC可以帮助区分不同的IA模型,如果IA条款被忽略,那么这可能会导致显着的偏差的宇宙学参数。我们发现,XC条款是必要的,以提取完整的信息内容的数据在未来的分析。它们有助于更好地约束宇宙学模型,并导致更好地理解污染这些探测器的系统效应。此外,我们发现,XC有助于约束的平均光度红移分布,但它需要更精确的知识,这意味着为了不降低最终的FoM。[摘要]

英文摘要:

The data from the Euclid mission will enable the measurement of the photometric redshifts, angular positions, and weak lensing shapes for over a billion galaxies. This large dataset will allow for cosmological analyses using the angular clustering of galaxies and cosmic shear. The cross-correlation (XC) between these probes can tighten constraints and it is therefore important to quantify their impact for Euclid. In this study we carefully quantify the impact of XC not only on the final parameter constraints for different cosmological models, but also on the nuisance parameters. In particular, we aim at understanding the amount of additional information that XC can provide for parameters encoding systematic effects, such as galaxy bias or intrinsic alignments (IA). We follow the formalism presented in Euclid Collaboration: Blanchard et al. (2019) and make use of the codes validated therein. We show that XC improves the dark energy Figure of Merit (FoM) by a factor $\sim 5$, whilst it also reduces the uncertainties on galaxy bias by $\sim 17\%$ and the uncertainties on IA by a factor $\sim 4$. We observe that the role of XC on the final parameter constraints is qualitatively the same irrespective of the galaxy bias model used. We also show that XC can help in distinguishing between different IA models, and that if IA terms are neglected then this can lead to significant biases on the cosmological parameters. We find that the XC terms are necessary to extract the full information content from the data in future analyses. They help in better constraining the cosmological model, and lead to a better understanding of the systematic effects that contaminate these probes. Furthermore, we find that XC helps in constraining the mean of the photometric-redshift distributions, but it requires a more precise knowledge of this mean in order not to degrade the final FoM. [Abridged]

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