Welcome to The Centre for Theoretical Physics and Astronomy

The Centre for Theoretical Physics and Astronomy investigates the most fundamental aspects of our universe, from the tiniest sub-atomic particles to the vast structure of galaxies and the universe as a whole. We pursue complementary programmes of theoretical and observational research, each informing and strengthening the other.

Our theoretical physics research has deep roots in quantum field theory and string theory, including a pivotal role in the discovery of consistent superstring theories and the first superstring revolution, and key contributions to the dualities underpinning the second. We have made seminal contributions to the field of scattering amplitudes, including foundational work on MHV amplitudes and dual conformal symmetry, and the development of the double copy, which reveals unexpected connections between gauge theory and gravity. We also have a strong tradition of research in string and M-theory. Current interests range from dualities and black holes to applications of amplitudes techniques to gravitational-wave physics.

Our astronomy research encompasses a broad range of astrophysical phenomena, studied through observational, theoretical and simulational approaches. We host internationally leading groups in early universe physics, relativistic and survey cosmology, extrasolar planets, planet formation and dynamics, solar and space plasma physics and plasma astrophysics. Notable achievements include the Pale Red Dot campaign, which confirmed the existence of Proxima Centauri b, the closest potentially habitable exoplanet to Earth. Our members play leading roles in major international collaborations including the Square Kilometre Array, Euclid, VISTA, HERA and MeerKAT, as well as space missions such as ESA's Solar Orbiter and NASA's Parker Solar Probe.

The centre has close collaborative ties to institutions across the globe and is a member of SEPnet, SEPnet-Astro, the DISCnet data-intensive science centre and the Alan Turing Institute. We have also developed advanced machine learning algorithms which have applications both within and outside of our areas of research.