Spatial Patterns Analysis in Cosmology based on Marked Point Processes
| Autor: | G. Castellan, Lauri Juhan Liivamägi, Radu S. Stoica, Enn Saar, Elmo Tempel |
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| Přispěvatelé: | Laboratoire Paul Painlevé (LPP), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut de Mécanique Céleste et de Calcul des Ephémérides (IMCCE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Groupe Astrométrie et Planétologie (GAP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Tartu Observatory, Observatooriumi 1, 61602, Toravere, Estonia, Fraix-Burnet, Didier, Valls-Gabaud, David |
| Rok vydání: | 2014 |
| Předmět: |
Physics
Distribution (number theory) Stochastic modelling media_common.quotation_subject General Engineering Astronomy and Astrophysics Cosmology Galaxy Universe Point process Theoretical physics Character (mathematics) Space and Planetary Science Spatial ecology Statistical physics [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] media_common |
| Zdroj: | EAS Publications Series Statistics for Astrophysics Methods and Applications of the Regression Statistics for Astrophysics Methods and Applications of the Regression, Oct 2013, Annecy, France. pp.197-226, ⟨10.1051/eas/1466013⟩ |
| ISSN: | 1638-1963 1633-4760 |
| DOI: | 10.1051/eas/1466013 |
| Popis: | International audience; This paper presents the use of marked point processes for studying the galaxy distribution in our Universe. The methodology we propose has a general character and it is based on the following tools: summary statistics, stochastic modelling, simulation algorithms and statistical applications. |
| Databáze: | OpenAIRE |
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