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This unique thesis covers all aspects of theories of gravity beyond
Einstein's General Relativity, from setting up the equations that
describe the evolution of perturbations, to determining the
best-fitting parameters using constraints like the microwave
background radiation, and ultimately to the later stages of
structure formation using state-of-the-art N-body simulations and
comparing them to observations of galaxies, clusters and other
large-scale structures. This truly ground-breaking work puts the
study of modified gravity models on the same footing as the
standard model of cosmology. Since the discovery of the
accelerating expansion of the Universe, marked by the awarding of
the 2011 Nobel Prize in Physics, there has been a growing interest
in understanding what drives that acceleration. One possible
explanation lies in theories of gravity beyond Einstein's General
Relativity. This thesis addresses all aspects of the problem, an
approach that is crucial to avoiding potentially catastrophic
biases in the interpretation of upcoming observational missions.
This unique thesis covers all aspects of theories of gravity beyond
Einstein's General Relativity, from setting up the equations that
describe the evolution of perturbations, to determining the
best-fitting parameters using constraints like the microwave
background radiation, and ultimately to the later stages of
structure formation using state-of-the-art N-body simulations and
comparing them to observations of galaxies, clusters and other
large-scale structures. This truly ground-breaking work puts the
study of modified gravity models on the same footing as the
standard model of cosmology. Since the discovery of the
accelerating expansion of the Universe, marked by the awarding of
the 2011 Nobel Prize in Physics, there has been a growing interest
in understanding what drives that acceleration. One possible
explanation lies in theories of gravity beyond Einstein's General
Relativity. This thesis addresses all aspects of the problem, an
approach that is crucial to avoiding potentially catastrophic
biases in the interpretation of upcoming observational missions.
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