Optimized supernova constraints on dark energy evolution

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dc.creatorStephan-Otto, Christian
dc.date2006-05-16
dc.date2006-07-20
dc.date.accessioned2026-07-07T07:08:28Z
dc.date.available2026-07-07T07:08:28Z
dc.descriptionA model-independent method to study the possible evolution of dark energy is presented. Optimal estimates of the dark energy equation of state w are obtained from current supernovae data from Riess et al. (2004) following a principal components approach. We assess the impact of varying the number of piecewise constant estimates of w using a model selection method, the Bayesian information criterion, and compare the most favored models with some parametrizations commonly used in the literature. Although data seem to prefer a cosmological constant, some models are only moderately disfavored by our selection criterion: a constant w, w linear in the scale factor, w linear in redshift and the two-parameter models introduced here. Among these, the models we find by optimization are slightly preferred. However, current data do not allow us to draw a conclusion on the possible evolution of dark energy. Interestingly, the best fits for all varying-w models exhibit a w<-1 at low redshifts.
dc.description6 pages, 4 figures; typos removed and reference added to match published version
dc.identifierhttps://arxiv.org/abs/astro-ph/0605403
dc.identifierhttp://arxiv.org/abs/astro-ph/0605403
dc.identifierPhys.Rev. D74 (2006) 023507
dc.identifierdoi:10.1103/PhysRevD.74.023507
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/110718
dc.subjectAstrophysics
dc.titleOptimized supernova constraints on dark energy evolution
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