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Achieving convergence in galaxy formation models by augmenting -body merger trees

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Published in:Computational Astrophysics and Cosmology
Format: Online Article RSS Article
Published: 2016
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container_title Computational Astrophysics and Cosmology
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78086
institution FRELIP
journal_source_facet Computational Astrophysics and Cosmology
publishDate 2016
publishDateSort 2016
record_format rss_article
spellingShingle Achieving convergence in galaxy formation models by augmenting -body merger trees
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Achieving convergence in galaxy formation models by augmenting -body merger trees
title_auth Achieving convergence in galaxy formation models by augmenting -body merger trees
title_full Achieving convergence in galaxy formation models by augmenting -body merger trees
title_fullStr Achieving convergence in galaxy formation models by augmenting -body merger trees
title_full_unstemmed Achieving convergence in galaxy formation models by augmenting -body merger trees
title_short Achieving convergence in galaxy formation models by augmenting -body merger trees
title_sort achieving convergence in galaxy formation models by augmenting -body merger trees
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1186/s40668-016-0016-3