Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Antoni Sagristà"'
Publikováno v:
Computer Graphics Forum. 39:331-342
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Traditional vector field visualization has a close focus on velocity, and is typically constrained to the dynamics of massless particles. In this paper, we present a novel approach to the analysis of the force-induced dynamics of inertial particles.
Autor:
George C. Craig, B. Wiebe, Bastian Rieck, Boyan Zheng, Karsten Hanser, Filip Sadlo, Ole Klein, Maria Lukacova-Medvidova, Antoni Sagristà, Marian Piatkowski, Heike Leitte, Tobias Selz
Publikováno v:
Advances in Visual Computing ISBN: 9783030038007
ISVC
ISVC
In this paper, we present an approach to analyze 1D parameter spaces of time-dependent flow simulation ensembles. By extending the concept of the finite-time Lyapunov exponent to the ensemble domain, i.e., to the parameter that gives rise to the ense
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb6e1e63bbf067df78e271440dd01673
https://doi.org/10.1007/978-3-030-03801-4_32
https://doi.org/10.1007/978-3-030-03801-4_32
Autor:
G. Magris, Kevin. R. V. Casteels, Gustavo Bruzual, Evanthia Hatziminaoglou, José María Rozas, Alberto Manrique, Enric Juan, Eduard Salvador-Solé, Antoni Sagristà
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
Dipòsit Digital de la UB
Universidad de Barcelona
instname
Dipòsit Digital de la UB
Universidad de Barcelona
We present an Analytic Model of Intergalactic-medium and GAlaxy evolution since the dark ages. AMIGA is in the spirit of the popular semi-analytic models of galaxy formation, although it does not use halo merger trees but interpolates halo properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25344b609465fd08f97fab605abfe339
http://hdl.handle.net/2445/65672
http://hdl.handle.net/2445/65672