PhysRevD.71.123510.pdf (423.99 kB)
Stochastic approaches to inflation model building
journal contribution
posted on 2023-06-07, 21:57 authored by Erandy Ramirez, Andrew R LiddleWhile inflation gives an appealing explanation of observed cosmological data, there are a wide range of different inflation models, providing differing predictions for the initial perturbations. Typically models are motivated either by fundamental physics considerations or by simplicity. An alternative is to generate large numbers of models via a random generation process, such as the flow equations approach. The flow equations approach is known to predict a definite structure to the observational predictions. In this paper, we first demonstrate a more efficient implementation of the flow equations exploiting an analytic solution found by Liddle (2003). We then consider alternative stochastic methods of generating large numbers of inflation models, with the aim of testing whether the structures generated by the flow equations are robust. We find that while typically there remains some concentration of points in the observable plane under the different methods, there is significant variation in the predictions amongst the methods considered.
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- Published
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- Published version
Journal
Physical Review DISSN
0556-2821External DOI
Issue
12Volume
71Page range
1235101-1235107Department affiliated with
- Physics and Astronomy Publications
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- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06First Open Access (FOA) Date
2016-03-22First Compliant Deposit (FCD) Date
2016-11-10Usage metrics
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