arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.12795astro-ph.CO
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弱透镜测量中的Photo-Z离群点自校准

Photo-z outlier self-calibration in weak lensing surveys

Emmanuel Schaan, Simone Ferraro, Uroš Seljak

摘要:

用外部数据校准弱透镜巡天的测光红移误差是极具挑战性的。我们表明,高斯和离群的photo-z参数可以从单独的数据进行自校准。这对于中微子质量、曲率和暗能量状态方程$w_0$来说是没有代价的,但是当$w_0$和$w_a$都变化时,会有65%的退化。我们执行一个现实的预测维拉鲁宾天文台(VRO)的遗产调查的空间和时间(LSST)的3x 2分析,结合宇宙剪切,投影星系集群和星系-星系透镜。我们证实了边缘化的重要性照片-Z离群值。我们研究了内部互相关的一个子集,被称为“空相关”,这通常是在3x 2分析中被忽略。尽管仅贡献了总信噪比的$\sim$ 10%,但这些零相关性将对photo-z参数的约束提高了一个数量级。使用相同的星系样本作为光源和镜头也大大改善了照片的z不确定性。总之,这些方法增加了任何探测到新物理的声明的鲁棒性,并将宇宙学的统计误差分别减少了15%和10%。最后,包括来自Simons Observatory或CMB-S4等实验的CMB透镜,将宇宙学和photo-z后验约束提高了约10%,并进一步提高了对系统学的鲁棒性。为了直观地给出Fisher预测,我们详细研究了几个解释photo-z自校准起源的玩具模型。我们的Fisher代码LaSSI(大尺度结构信息),其中包括高斯和离群photo-z,剪切乘法偏差,线性星系偏差的影响,并扩展到$Λ$ CDM,是公开的https://github.com/EmmanuelSchaan/LaSSI。

英文摘要:

Calibrating photometric redshift errors in weak lensing surveys with external data is extremely challenging. We show that both Gaussian and outlier photo-z parameters can be self-calibrated from the data alone. This comes at no cost for the neutrino masses, curvature and dark energy equation of state $w_0$, but with a 65% degradation when both $w_0$ and $w_a$ are varied. We perform a realistic forecast for the Vera Rubin Observatory (VRO) Legacy Survey of Space and Time (LSST) 3x2 analysis, combining cosmic shear, projected galaxy clustering and galaxy - galaxy lensing. We confirm the importance of marginalizing over photo-z outliers. We examine a subset of internal cross-correlations, dubbed "null correlations", which are usually ignored in 3x2 analyses. Despite contributing only $\sim$ 10% of the total signal-to-noise, these null correlations improve the constraints on photo-z parameters by up to an order of magnitude. Using the same galaxy sample as sources and lenses dramatically improves the photo-z uncertainties too. Together, these methods add robustness to any claim of detected new Physics, and reduce the statistical errors on cosmology by 15% and 10% respectively. Finally, including CMB lensing from an experiment like Simons Observatory or CMB-S4 improves the cosmological and photo-z posterior constraints by about 10%, and further improves the robustness to systematics. To give intuition on the Fisher forecasts, we examine in detail several toy models that explain the origin of the photo-z self-calibration. Our Fisher code LaSSI (Large-Scale Structure Information), which includes the effect of Gaussian and outlier photo-z, shear multiplicative bias, linear galaxy bias, and extensions to $Λ$CDM, is publicly available at https://github.com/EmmanuelSchaan/LaSSI .

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