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- W2229167477 abstract "Cosmography is a model-independent description to the cosmic evolution, but suffers a serious convergence issue in confront of the supernova data, especially for high redshift $z>1$. To ensure data in the convergence radius, $y=z/(1+z)$ redshift was defined. However, discussions about the usefulness of $y$-redshift and the leading cause of the issue are commonly absent. In the present paper, we study the cosmography in both $z$ and $y$ redshift using the supernova and mock redshift drift data. By introducing the bias-variance tradeoff, we reveal that the large bias square between cosmography and Union2.1 supernova data is the chief culprit of convergence issue. Moreover, expansion up to higher order and introduction of the $y$-redshift both are not effective to reconcile this contradiction. Minimizing risk, it suggests that Taylor expansion up to the second term is a better choice for available supernova data. Forecast from future supernova data and redshift drift shows that redshift drift can give much tighter constraints on the cosmography. We also investigate the effect of convergence issue on the deceleration parameter and dark energy. It inspires us that dynamical observations including redshift drift can give more detailed information on cosmic evolution." @default.
- W2229167477 created "2016-06-24" @default.
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- W2229167477 date "2016-01-07" @default.
- W2229167477 modified "2023-09-25" @default.
- W2229167477 title "Cosmographic analysis from distance indicator and dynamical redshift drift" @default.
- W2229167477 hasPublicationYear "2016" @default.
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