Extended models of gravity in SNIa cosmological data using genetic algorithms

Spanish Relativity Meeting: almost 100 years after Einstein's revolution

López-Corona, O.^1

Instituto de Astronomía, Universidad Nacional Autónoma de México, AP 70-264, México, Distrito Federal

04510, Mexico^1

关键词: Computational paradigm;    Dark matter;    Data treatment;    Extended model;    Theoretical development;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/600/1/012046/pdf
DOI  :  10.1088/1742-6596/600/1/012046

来源: IOP

【 摘 要 】

In this talk I explained briefly the advantages of using genetic algorithms on any measured data but specially astronomical ones. This kind of algorithms are not only a better computational paradigm, but they also allow for a more profound data treatment enhancing theoretical developments. As an example, I will use the SNIa cosmological data to fit the extended metric theories of gravity of Carranza et al. (2013, 2014) showing that the best parameters combination deviate from theoretical predicted ones by a minimal amount. This means that these kind of gravitational extensions are statistically robust and show that no dark matter and/or energy is required to explain the observations.