Characteristic functions for cosmological cross-correlations

被引：6

作者：

Breysse, Patrick C. ^{[1
]}

Chung, Dongwoo T. ^{[2
,3
]}

Ihle, Havard T. ^{[4
]}

机构：

[1] NYU, Ctr Cosmol & Particle Phys, Dept Phys, 726 Broadway, New York, NY 10003 USA

[2] Univ Toronto, Canadian Inst Theoret Astrophys, 60 St George St, Toronto, ON M5S 3H8, Canada

[3] Univ Toronto, Dunlap Inst Astron & Astrophys, 50 St George St, Toronto, ON M5S 3H4, Canada

[4] Univ Oslo, Inst Theoret Astrophys, POB 1029, N-0315 Oslo, Norway

来源：

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2023年 / 525卷 / 02期

关键词：

methods: statistical; diffuse radiation; large-scale structure of Universe; POWER SPECTRUM; STAR-FORMATION; MOLECULAR GAS; C II; MODE POLARIZATION; NON-GAUSSIANITY; NUMBER COUNTS; LINE EMISSION; INTENSITY; CONSTRAINTS;

D O I：

10.1093/mnras/stad2350

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We introduce a novel unbiased, cross-correlation estimator for the one-point statistics of cosmological random fields. One-point statistics are a useful tool for analysis of highly non-Gaussian density fields, while cross-correlations provide a powerful method for combining information from pairs of fields and separating them from noise and systematics. We derive a new Deconvolved Distribution Estimator that combines the useful properties of these two methods into one statistic. Using two example models of a toy Gaussian random field and a line intensity mapping survey, we demonstrate these properties quantitatively and show that the deconvolved distribution estimator can be used for inference. This new estimator can be applied to any pair of overlapping, non-Gaussian cosmological observations, including large-scale structure, the Sunyaev-Zeldovich effect, weak lensing, and many others.

引用

页码：1824 / 1838

页数：15

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