1 resultado para Fate and transport ocean model
em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (2)
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (17)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (5)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (3)
- Archive of European Integration (74)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (49)
- Boston University Digital Common (1)
- Brock University, Canada (4)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (11)
- CentAUR: Central Archive University of Reading - UK (83)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (51)
- Cochin University of Science & Technology (CUSAT), India (5)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (16)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Deakin Research Online - Australia (39)
- Digital Commons - Michigan Tech (9)
- Digital Commons - Montana Tech (1)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (18)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (8)
- DigitalCommons@The Texas Medical Center (6)
- DigitalCommons@University of Nebraska - Lincoln (2)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (6)
- Earth Simulator Research Results Repository (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Greenwich Academic Literature Archive - UK (2)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (79)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- National Center for Biotechnology Information - NCBI (8)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (16)
- Publishing Network for Geoscientific & Environmental Data (83)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (45)
- Queensland University of Technology - ePrints Archive (127)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (22)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- School of Medicine, Washington University, United States (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (20)
- Universidade Complutense de Madrid (2)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (3)
- University of Connecticut - USA (1)
- University of Michigan (41)
- University of Queensland eSpace - Australia (24)
- University of Washington (6)
- WestminsterResearch - UK (2)
Resumo:
In this work we investigate if a small fraction of quarks and gluons, which escaped hadronization and survived as a uniformly spread perfect fluid, can play the role of both dark matter and dark energy. This fluid, as developed in [1], is characterized by two main parameters: beta, related to the amount of quarks and gluons which act as dark matter; and gamma, acting as the cosmological constant. We explore the feasibility of this model at cosmological scales using data from type Ia Supernovae (SNeIa), Long Gamma-Ray Bursts (LGRB) and direct observational Hubble data. We find that: (i) in general, beta cannot be constrained by SNeIa data nor by LGRB or H(z) data; (ii) gamma can be constrained quite well by all three data sets, contributing with approximate to 78% to the energy matter content; (iii) when a strong prior on (only) baryonic matter is assumed, the two parameters of the model are constrained successfully. (C) 2014 The Authors. Published by Elsevier B.V.