The leading theories of inflation are increasingly multi-dimensional. In this project, we consider a natural hypothesis that the inflaton potential, the theorized mechanism behind accelerated expansion in the early universe, is maximally random. We present a program that simulates random potentials, solves equations of motion, and catalogues predictions for observable quantities, such as perturbation spectra
We present Monte Carlo reconstruction, a new method for ``inverting'' observational data to constrai...
Phenomenologically interesting scalar potentials are highly atypical in generic random landscapes. W...
Cosmic inflation may have led to non-Gaussian initial conditions that cannot be fully parametrised b...
The leading modern theories of cosmological inflation are increasingly multi-dimensional. The “inflato...
There is considerable interest in inflationary models with multiple inflaton fields. The inflaton fi...
Random, multifield functions can set generic expectations for landscape-style cosmologies. We consid...
We study the distribution of metastable vacua and the likelihood of slow roll inflation in high dime...
We present a machine-learning approach, based on the genetic algorithms (GA), that can be used to re...
Motivated by the possibility of inflation in the cosmic landscape, which may be approximated by a co...
Cosmological inflation is a simple, and observationally well-supported, mechanism for generating a f...
We study inflation in models with many interacting fields subject to randomly generated scalar poten...
Large classes of standard single-field slow-roll inflationary models consistentwith the required num...
We construct a class of random potentials for N 1 scalar fields using non-equilibrium random matrix...
We study inflation in models with many interacting fields subject to randomly generated scalar poten...
For simple inflationary models, we provide a consistent and complete scheme by which the macro-physi...
We present Monte Carlo reconstruction, a new method for ``inverting'' observational data to constrai...
Phenomenologically interesting scalar potentials are highly atypical in generic random landscapes. W...
Cosmic inflation may have led to non-Gaussian initial conditions that cannot be fully parametrised b...
The leading modern theories of cosmological inflation are increasingly multi-dimensional. The “inflato...
There is considerable interest in inflationary models with multiple inflaton fields. The inflaton fi...
Random, multifield functions can set generic expectations for landscape-style cosmologies. We consid...
We study the distribution of metastable vacua and the likelihood of slow roll inflation in high dime...
We present a machine-learning approach, based on the genetic algorithms (GA), that can be used to re...
Motivated by the possibility of inflation in the cosmic landscape, which may be approximated by a co...
Cosmological inflation is a simple, and observationally well-supported, mechanism for generating a f...
We study inflation in models with many interacting fields subject to randomly generated scalar poten...
Large classes of standard single-field slow-roll inflationary models consistentwith the required num...
We construct a class of random potentials for N 1 scalar fields using non-equilibrium random matrix...
We study inflation in models with many interacting fields subject to randomly generated scalar poten...
For simple inflationary models, we provide a consistent and complete scheme by which the macro-physi...
We present Monte Carlo reconstruction, a new method for ``inverting'' observational data to constrai...
Phenomenologically interesting scalar potentials are highly atypical in generic random landscapes. W...
Cosmic inflation may have led to non-Gaussian initial conditions that cannot be fully parametrised b...