Deriving Cosmological Parameters from the Euclid mission

Davide Sciotti
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Abstract

The Euclid mission is a visionary project undertaken by the European Space Agency (ESA) to probe the universe's evolution and geometry by surveying the position and gravitational shape distortion of billions of galaxies. These observations bear the potential to offer unprecedented measurements of the cosmological parameters, thereby advancing our understanding of the cosmos. This work revolves around the central theme of quantifying the constraining power of the upcoming Euclid 3$\times$2pt photometric survey, accounting for several factors which have been neglected to this date in the official forecasts, especially more subtle sources of uncertainty which need to be included in the forecast (and data) analysis due to the precision of the observations. First, we include and study the impact of super-sample covariance, a source of sample variance coming from the incomplete sampling of the density and shear field Fourier modes caused by the limited survey volume. Second, we examine the effect of scale cuts, translating them from Fourier to harmonic space through the use of the BNT transform, which offers an efficient way of separating angular scales for the cosmic shear signal. This analysis allows quantifying and mitigating the bias coming from the uncertainty on our modelling of small scales. These updated forecasts, validated against the reference Euclid ones, provide insights into the expected precision achieved on the cosmological and nuisance parameters, for a variety of survey settings and for the inclusion of different realistic systematics, such as multiplicative shear bias, magnification bias, uncertainty in the mean of the redshift distribution and so on.
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从欧几里得任务推导出宇宙学参数
欧几里得任务是欧洲航天局(ESA)开展的一个具有远见卓识的项目,目的是通过勘测数十亿星系的位置和引力形状变形来探测宇宙的演化和几何。这项工作围绕着一个中心主题,即量化即将进行的欧几里得3倍2pt测光勘测的约束能力,考虑到迄今为止官方预测中被忽视的各种因素,特别是由于观测的精确性而需要纳入预测(和数据)分析的更微妙的不确定性来源。首先,我们纳入并研究了超样本方差的影响,超样本方差是样本方差的一个来源,它来自于因勘测体积有限而导致的密度和剪切场傅里叶模式的不完全采样。其次,我们研究了尺度切割的影响,通过使用 BNT 变换将它们从傅里叶空间转换到谐波空间,这为分离宇宙剪切信号的角尺度提供了一种有效的方法。这种分析可以量化和减轻我们对小尺度建模的不确定性带来的偏差。这些更新的预报与参考欧几里得预报进行了验证,使我们能够深入了解在各种勘测环境下以及在纳入不同的现实系统性(如乘切变偏差、放大偏差、红移分布均值的不确定性等)后,宇宙学参数和干扰参数的预期精度。
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