.png){kind=icon}
Return
RECONSTRUCTING THE SHAPE OF THE CORRELATION FUNCTION
.png){kind=icon}
OA
AI
DOI：10.1088/0067-0049/206/2/23.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We develop an estimator for the correlation function which, in the ensemble average, returns the shape of the correlation function, even for signals that have significant correlations on the scale of the survey region. Our estimator is general and works in any number of dimensions. We develop versions of the estimator for both diffuse and discrete signals. As an application, we apply them to Monte Carlo simulations of X-ray background measurements. These include a realistic, spatially inhomogeneous population of spurious detector events. We discuss applying the estimator to the averaging of correlation functions evaluated on several small fields, and to other cosmological applications.
Keywords:
cosmology: observations
galaxies: statistics
methods: data analysis
methods: numerical methods: statistical
X-rays: diffuse background
Journal
IF:
8.5
Papers:
5.7K
Citations:
4.2W
Organization
Cited Papers
.png){kind=icon}
ShareSaveFlow cytometry detection of Shiga toxins in the blood from children with hemolytic uremic syndrome
PREAI
ShareSaveShareSaveShareSaveShareSave
View more