activity
20172019
most citedComparing approximate methods for mock catalogues and covariance matrices II: Power spectrum multipoles

86 citations · 288 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.CO2019★ 17 cited

Bounds on WIMP dark matter from galaxy clusters at low redshift

Xiuhui Tan, Manuel Colavincenzo

The study of the cross-correlation angular power spectrum between gravitational tracers and electromagnetic signals can be a powerful tool to constrain Dark Matter (DM) microscopic…

astro-ph.CO2019★ 19 cited

Searching for gamma-ray emission from galaxy clusters at low redshift

Manuel Colavincenzo, Xiuhui Tan, Simone Ammazzalorso +4

We report the identification of a positive cross-correlation signal between the unresolved -ray emission, measured by the \emph{Fermi} Large Area Telescope, and four different g…

astro-ph.CO2018★ 78 cited

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…

astro-ph.CO2018★ 86 cited

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…

astro-ph.CO2018★ 84 cited

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…

astro-ph.CO2017★ 4 cited

Uncertainty in the visibility mask of a survey and its effects on the clustering of biased tracers

Manuel Colavincenzo, Pierluigi Monaco, Emiliano Sefusatti +1

The forecasted accuracy of upcoming surveys of large-scale structure cannot be achieved without a proper quantification of the error induced by foreground removal (or other systema…