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UNIT project: Universe -body simulations for the Investigation of Theoretical models from galaxy surveys
Chia-Hsun Chuang, Gustavo Yepes, Francisco-Shu Kitaura +13
We present the UNIT -body cosmological simulations project, designed to provide precise predictions for nonlinear statistics of the galaxy distribution. We focus on characterizi…
Bayesian cosmic density field inference from redshift space dark matter maps
E. G. Patrick Bos, Francisco-Shu Kitaura, Rien van de Weygaert
We present a self-consistent Bayesian formalism to sample the primordial density fields compatible with a set of dark matter density tracers after cosmic evolution observed in reds…
Comparing approximate methods for mock catalogues and covariance matrices III: Bispectrum
Manuel Colavincenzo, Emiliano Sefusatti, Pierluigi Monaco +19
We compare the measurements of the bispectrum and the estimate of its covariance obtained from a set of different methods for the efficient generation of approximate dark matter ha…
Comparing approximate methods for mock catalogues and covariance matrices II: Power spectrum multipoles
Linda Blot, Martin Crocce, Emiliano Sefusatti +19
We study the accuracy of several approximate methods for gravitational dynamics in terms of halo power spectrum multipoles and their estimated covariance matrix. We propagate the d…
Comparing approximate methods for mock catalogues and covariance matrices I: correlation function
Martha Lippich, Ariel G. Sánchez, Manuel Colavincenzo +19
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…
BAM: Bias Assignment Method to generate mock catalogs
A. Balaguera-Antolínez, Francisco-Shu Kitaura, Marcos Pellerejo-Ibañez +2
We present BAM: a novel Bias Assignment Method envisaged to generate mock catalogs. Combining the statistics of dark matter tracers from a high resolution cosmological -body sim…