RandomQuintessence: Integrate the Klein-Gordon and Friedmann equations with random initial conditions

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Ada Coda
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RandomQuintessence: Integrate the Klein-Gordon and Friedmann equations with random initial conditions

Post by Ada Coda » Tue Jun 01, 2021 1:55 am

RandomQuintessence: Integrate the Klein-Gordon and Friedmann equations with random initial conditions

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
https://ui.adsabs.harvard.edu/abs/2014PhRvD..90j5023M

Bibcode: 2021ascl.soft05019M

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2014PhRvD..90j5023M

ID: ascl:2105.019

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