arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2012.04672astro-ph.CO
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Euclid:$k$ -截$3 \times 2$点统计的预测

Euclid: Forecasts for $k$-cut $3 \times 2$ Point Statistics

P. L. Taylor, T. Kitching, V. F. Cardone, A. Ferté, E. M. Huff, F. Bernardeau, J. Rhodes, A. C. Deshpande, I. Tutusaus, A. Pourtsidou, S. Camera, C. Carbone, S.… 展开作者

P. L. Taylor, T. Kitching, V. F. Cardone, A. Ferté, E. M. Huff, F. Bernardeau, J. Rhodes, A. C. Deshpande, I. Tutusaus, A. Pourtsidou, S. Camera, C. Carbone, S. Casas, M. Martinelli, V. Pettorino, Z. Sakr, D. Sapone, V. Yankelevich, N. Auricchio, A. Balestra, C. Bodendorf, D. Bonino, A. Boucaud, E. Branchini, M. Brescia, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, L. Corcione, M. Cropper, E. Franceschi, B. Garilli, B. Gillis, C. Giocoli, L. Guzzo, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, S. Kermiche, M. Kilbinger, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Marggraf, K. Markovic, R. Massey, E. Medinaceli, S. Mei, M. Meneghetti, G. Meylan, M. Moresco, B. Morin, L. Moscardini, S. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, W. J. Percival, S. Pires, G. Polenta, M. Poncet, L. Popa, F. Raison, M. Roncarelli, E. Rossetti, R. Saglia, P. Schneider, A. Secrou, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, F. Sureau, P. Tallada Crespí, D. Tavagnacco, A. N. Taylor, H. I. Teplitz, I. Tereno, R. Toledo-Moreo, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, J. Zoubian

摘要:

由于重子反馈、非线性结构增长和星系是有偏示踪剂的事实,在小尺度上模拟不确定性,即功率谱$P(k)$中的高$k$,对充分利用{ \it Euclid}宽场巡天的约束能力构成了重大障碍。$k$切割宇宙剪切最近被提出作为一种方法,以最佳地消除这些尺度的敏感性,同时保留有用的信息。在本文中,我们推广的$k$切割宇宙剪切形式主义的$3 \times 2$点统计和估计的信息损失为不同的$k$切割在一个$3 \times 2$点分析的{ \it Euclid}数据。扩展~ \citet{blanchard2019euclid}的Fisher矩阵分析,我们评估了不同$k$ -切割的约束能力的退化。我们工作在理想的情况下,假设星系的偏差是线性的,协方差是高斯的,而忽略不确定性,由于photo-z的错误和重子反馈。我们发现,在$2.6 \ h \ {\rm Mpc} ^{-1}$处取$k$ -切割,产生的暗能量品质因数(FOM)为1018.这相当于在传统的$3 \times 2$点分析中,在$\ell = 5000$处取弱透镜切割,在$\ell = 3000$处取星系团和星系-星系透镜切割。我们还发现,所观察到的星系的光度聚类分析的一部分中使用的分数是FOM的主要驱动程序之一。除去星系团中的$50 \% \ (90 \%)$,FOM值减少了$19 \% \ (62 \%)$ .考虑到FOM在很大程度上依赖于聚类分析中使用的星系比例,当将分析扩展到亮红星系(LRG)样本之外时,应该做出广泛的努力来处理现实世界中存在的系统学。

英文摘要:

Modelling uncertainties at small scales, i.e. high $k$ in the power spectrum $P(k)$, due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased tracers poses a significant obstacle to fully leverage the constraining power of the {\it Euclid} wide-field survey. $k$-cut cosmic shear has recently been proposed as a method to optimally remove sensitivity to these scales while preserving usable information. In this paper we generalise the $k$-cut cosmic shear formalism to $3 \times 2$ point statistics and estimate the loss of information for different $k$-cuts in a $3 \times 2$ point analysis of the {\it Euclid} data. Extending the Fisher matrix analysis of~\citet{blanchard2019euclid}, we assess the degradation in constraining power for different $k$-cuts. We work in the idealised case and assume the galaxy bias is linear, the covariance is Gaussian, while neglecting uncertainties due to photo-z errors and baryonic feedback. We find that taking a $k$-cut at $2.6 \ h \ {\rm Mpc} ^{-1}$ yields a dark energy Figure of Merit (FOM) of 1018. This is comparable to taking a weak lensing cut at $\ell = 5000$ and a galaxy clustering and galaxy-galaxy lensing cut at $\ell = 3000$ in a traditional $3 \times 2$ point analysis. We also find that the fraction of the observed galaxies used in the photometric clustering part of the analysis is one of the main drivers of the FOM. Removing $50 \% \ (90 \%)$ of the clustering galaxies decreases the FOM by $19 \% \ (62 \%)$. Given that the FOM depends so heavily on the fraction of galaxies used in the clustering analysis, extensive efforts should be made to handle the real-world systematics present when extending the analysis beyond the luminous red galaxy (LRG) sample.

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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