Taxonomy of Dark Energy Models

dc.contributor.authorMotta, Verónica
dc.contributor.authorGarcía-Aspeitia, Miguel A.
dc.contributor.authorHernández-Almada, Alberto
dc.contributor.authorMagaña, Juan
dc.contributor.authorVerdugo, Tomás
dc.date.accessioned2022-11-30T02:46:40Z
dc.date.available2022-11-30T02:46:40Z
dc.date.issued2021
dc.description.abstractThe accelerated expansion of the Universe is one of the main discoveries of the past decades, indicating the presence of an unknown component: the dark energy. Evidence of its presence is being gathered by a succession of observational experiments with increasing precision in its measurements. However, the most accepted model for explaining the dynamic of our Universe, the so-called Lambda cold dark matter, faces several problems related to the nature of such energy component. This has led to a growing exploration of alternative models attempting to solve those drawbacks. In this review, we briefly summarize the characteristics of a (non-exhaustive) list of dark energy models as well as some of the most used cosmological samples. Next, we discuss how to constrain each model’s parameters using observational data. Finally, we summarize the status of dark energy modeling.en_ES
dc.facultadFacultad de Cienciasen_ES
dc.file.nameMotta_Tax2021.pdf
dc.identifier.citationMotta, V.; García-Aspeitia, M.A.; Hernández-Almada, A.; Magaña, J.; Verdugo, T. Taxonomy of Dark Energy Models. Universe 2021, 7, 163. https://doi.org/10.3390/universe7060163en_ES
dc.identifier.doihttps://doi.org/10.3390/universe7060163
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7456
dc.languageen
dc.publisherMDPI
dc.rightsAll articles published by MDPI are made immediately available worldwide under an open access license.
dc.sourceUniverse
dc.subjectDARK ENERGYen_ES
dc.subjectMODIFIED GRAVITYen_ES
dc.subjectCOSMOLOGYen_ES
dc.titleTaxonomy of Dark Energy Models
dc.typeArticulo
uv.departamentoInstituto de Fisica y Astronomia

Archivos

Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Motta_Tax2021.pdf
Tamaño:
6.77 MB
Formato:
Adobe Portable Document Format