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This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Vitor da Fonseca, Instituto de Astrof´ısica e Ciˆencias do Espa¸co, Faculdade de Ciˆencias da Universidade de Lisboa;
(2) Tiago Barreiro, Instituto de Astrof´ısica e Ciˆencias do Espa¸co, Faculdade de Ciˆencias da Universidade de Lisboa and 2ECEO, Universidade Lus´ofona;
(3) Nelson J. Nunes, Instituto de Astrof´ısica e Ciˆencias do Espa¸co, Faculdade de Ciˆencias da Universidade de Lisboa.
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Table of Links
Abstract and Intro
Coupling Dark Energy to Neutrinos
Impact of the Coupling on Perturbations and Observables
Parameter Estimation
Discussion
Acknowledgment, Appendix, and References
IV. PARAMETER ESTIMATION
A. Methodology
The likelihoods are minimized using the Monte Carlo code of the MontePython parameter estimation package [62, 63], which samples the parameter space and the posterior probability distributions using a Metropolis-Hastings algorithm with the flat priors specified in Table I. The size of the prior intervals is sufficient for the corresponding posteriors to fall exponentially within them, except for the parameter β as we will discuss later.
B. Main results
The results of the likelihood analysis are summarized in Table II, which lists the constraints on the cosmological parameters obtained with the Plk18+BAO data set for both the uncoupled (β = 0) scalar field model and the coupled MaVaN model. They lead to several remarkable conclusions.