Abstract: RandomQuintessence integrates the Klein-Gordon and Friedmann equations for quintessence models with random initial conditions and functional forms for the potential. Quintessence models generically impose non-trivial structure on observables like the equation of state of dark energy. There are three main modules; montecarlo_nompi.py sets initial conditions, loops over a bunch of randomly-initialised models, integrates the equations, and then analyses and saves the resulting solutions for each model. Models are defined in potentials.py; each model corresponds to an object that defines the functional form of the potential, various model parameters, and functions to randomly draw those parameters. All of the equation-solving code and methods to analyze the solution are kept in solve.py under the base class DEModel(). Other files available analyze and plot the data in a variety of ways.
Credit: Marsh, David J. E.; Bull, Philip; Ferreira, Pedro G.; Pontzen, Andrew
Site: https://gitlab.com/random-quintessence/ ... intessence
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2014PhRvD..90j5023M