Constraints on growth index parameters from current and future observations
Jason Dossett, Mustapha Ishak, Jacob Moldenhauer, Yungui Gong, Anzhong, Wang

TL;DR
This paper investigates how current and future observational data can constrain the growth index parameters, which are crucial for understanding the nature of gravity and cosmic acceleration, using new parameterizations and simulations.
Contribution
It introduces new redshift-dependent parameterizations of the growth index and demonstrates their effectiveness in constraining models with future data, unlike current data.
Findings
Current data cannot tightly constrain growth parameters.
Future data can significantly rule out incorrect models.
Redshift-dependent parameterizations improve model discrimination.
Abstract
We use current and future simulated data of the growth rate of large scale structure in combination with data from supernova, BAO, and CMB surface measurements, in order to put constraints on the growth index parameters. We use a recently proposed parameterization of the growth index that interpolates between a constant value at high redshifts and a form that accounts for redshift dependencies at small redshifts. We also suggest here another exponential parameterization with a similar behaviour. The redshift dependent parametrizations provide a sub-percent precision level to the numerical growth function, for the full redshift range. Using these redshift parameterizations or a constant growth index, we find that current available data from galaxy redshift distortions and Lyman-alpha forests is unable to put significant constraints on any of the growth parameters. For example both…
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