# Our mission

We are an international collaboration of researchers interested in developing and applying cutting-edge statistical inference techniques to study the spatial distribution of matter in our Universe. We embrace the latest innovations in information theory and artificial intelligence to optimally extract physical information from data and use derived results to facilitate new discoveries.Get notified when new results are published @AquilaScience

# Our latest results

## Is the speed of light energy dependent?

High energy astrophysical transients at cosmological distances allow us to test the fundamental assumptions of the standard models of cosmology and particle physics, such as the Weak Equivalence Principle, Lorentz Invariance or the massless nature of the photon. A violation of any of these would result in energy-dependent arrival times for photons from distant sources. We forward model these time delays for gamma ray bursts using the BORG SDSS-III/BOSS reconstruction and compare to data to constrain the quantum gravity energy scale, the mass of the photon, and violations of the Weak Equivalence Principle.

## Testing gravity with the positions of supermassive black holes

A key frontier in cosmology is testing the nature of gravity. We use constrained simulations of local structure based on the BORG algorithm to map out the scalar field in galileon gravity, a leading competitor to General Relativity. From this we predict the behaviour of supermassive black holes in galaxies, and then compare with observational data to constrain the coupling strength of the galileon.

## Simulating the Universe on a mobile phone

Existing cosmological simulation methods lack a high degree of parallelism due to the long-range nature of the gravitational force, which limits the size of simulations that can be run at high resolution. In this post, we discuss a new, perfectly parallel algorithm to simulate the Universe on a variety of hardware architectures.