A group of astronomers led by Dr Sesh Nadathur at the University of Portsmouth, and including WCA Director Will Percival, have spent the last 3 years studying large structures in the distribution of galaxies in the Universe to provide the most precise tests of dark energy and cosmic expansion yet. The new method is based on a combination of the statistics of voids – large expanding bubbles of space containing very few galaxies – and the faint imprint of sound waves in the very early Universe, known as baryon acoustic oscillations (BAO), that can be seen in the distribution of galaxies.
A distant quasar – a pulsating firestorm burning brighter than a trillion suns, half the universe away from Earth – harbours a supermassive black hole. And we can now see it with unprecedented clarity, thanks to a team of researchers from the global Event Horizon Telescope (EHT) collaboration.
The EHT team conducted the highest-resolution measurements yet of a quasar called 3C 279, using the same interconnected global array of telescopes they utilized to capture the now-iconic image of a black hole, published in April 2019.
Five University of Waterloo students, including Antonio Martinez - a PhD candidate in Waterloo’s Department of Physics and Astronomy, have teamed up with Google to develop software to accelerate machine learning using quantum science.
The collaborative effort resulted in the creation of an open-source hybrid quantum-classical machine learning software platform, called TensorFlow Quantum.