Sabino Matarrese
University of Padua
813 Papers
25.5K Citations
Sabino Matarrese is an academic researcher from University of Padua. The author has contributed to research in topics: Cosmic microwave background & Planck. The author has an hindex of 155, co-authored 775 publications. Previous affiliations of Sabino Matarrese include International School for Advanced Studies & Istituto Nazionale di Fisica Nucleare.
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Papers
Large-scale non-Gaussian mass function and halo bias: tests on N-body simulations
M. Grossi,Licia Verde,Licia Verde,Carmelita Carbone,Klaus Dolag,Enzo Branchini,Francesca Iannuzzi,Francesca Iannuzzi,Sabino Matarrese,Lauro Moscardini +9 more
TL;DR: In this paper, the authors calibrate the analytic non-Gaussian mass function of Matarrese et al. and LoVerde et al.'s description of clustering of halos for nonGaussian initial conditions on N-body simulations.
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Searching for non Gaussian signals in the BOOMERanG 2003 CMB maps
G. De Troia,Peter A. R. Ade,James J. Bock,James J. Bock,J. R. Bond,Julian Borrill,Julian Borrill,A. Boscaleri,P. Cabella,Carlo R. Contaldi,Carlo R. Contaldi,B. P. Crill,P. de Bernardis,G. de Gasperis,A. de Oliveira-Costa,G. Di Stefano,Pedro G. Ferreira,Eric Hivon,Andrew H. Jaffe,Ted Kisner,Ted Kisner,Martin Kunz,W. C. Jones,W. C. Jones,Andrew E. Lange,Michele Liguori,Silvia Masi,Sabino Matarrese,Philip Daniel Mauskopf,C. J. MacTavish,Alessandro Melchiorri,T. E. Montroy,Paolo Natoli,Calvin B. Netterfield,Enzo Pascale,F. Piacentini,F. Piacentini,Dmitry Pogosyan,G. Polenta,Simon Prunet,S. Ricciardi,S. Ricciardi,Giovanni Romeo,J. E. Ruhl,P. Santini,Max Tegmark,M. Veneziani,Nicola Vittorio +47 more
TL;DR: In this article, a pixel space analysis restricted to a portion of the BOOMERanG 2003 (B03) 145 GHz temperature map was performed to constrain the amplitude of a non-Gaussian, primordial contribution to CMB fluctuations.
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Weighted bias and galaxy clustering
TL;DR: In this paper, a weighted biasing scheme for galaxy clustering was proposed, which is in better accord with intuitive ideas than models based on the Kaiser (1984) analysis of the clustering of rich clusters.