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Monthly Notices of the Royal Astronomical Society • Vol 482 • No 2
Comparing approximate methods for mock catalogues and covariance matrices – I. Correlation function
October 2018 • Martha Lippich, Ariel G. Sánchez, Manuel Colavincenzo, E. Sefusatti, Pierluigi Monaco, L Blot, M. Crocce, Marcelo A. Alvarez, A. S. Agrawal, S. Àvila…
This paper is the first in a set that analyses the covariance matrices of clustering statistics obtained from several approximate methods for gravitational structure formation. We focus here on the covariance matrices of anisotropic two-point correlation function measurements. Our comparison includes seven approximate methods, which can be divided into three categories: predictive methods that follow the evolution of the linear density field deterministically (ICE-COLA, PEAK PATCH, and PINOCCHIO), methods that req…
Physics
Cluster Analysis
Covariance Matrix
Gaussian Function
Halo (Optical Phenomenon)
Galaxy
Statistics
Astrophysics
Mathematics
Quantum Mechanics
Biology
Evolutionary Biology