Observational constraints on thawing quintessence models
Timothy G Clemson, Andrew R Liddle

TL;DR
This paper employs a dynamical systems approach to analyze thawing quintessence models, constraining them with current data and forecasting future survey improvements, while relating findings to existing analytical constraints.
Contribution
It introduces a multi-parameter extension of the exponential potential to better approximate thawing quintessence models and assesses observational constraints and future prospects.
Findings
Current data constrain thawing quintessence parameters
Future surveys will significantly tighten these constraints
The results relate to and extend existing analytical bounds
Abstract
We use a dynamical systems approach to study thawing quintessence models, using a multi-parameter extension of the exponential potential which can approximate the form of typical thawing potentials. We impose observational constraints using a compilation of current data, and forecast the tightening of constraints expected from future dark energy surveys, as well as discussing the relation of our results to analytical constraints already in the literature.
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