PhD Supervision Interests

Measuring the size and structure of the Universe with type Ia supernova The Universe is currently undergoing a period of rapid accelerated expansion. This discovery, suggesting that 75% of the energy budget of the Universe is unexplained represents the biggest mystery in physics today. Type Ia supernova, as bright, highly homogenous, explosions, are excellent measures of distance. Visible to vast distances, these cosmic light-bulbs are ideal measures of how the size and content of the Universe has evolved over the last 10 billion years. This PhD project aims to expand the use of these events to probe new aspects of cosmology. Specifically, the student will exploit data collected by the international Zwicky Transient Facility (ZTF) collaboration to maximise our understanding of type Ia supernova to produce a detailed 3D map of the nearby Universe. This project represents a leap forward in this field; more than ten thousand discoveries are now made each year, compared to several hundred collected in the last twenty. The student will develop machine learning tools to separate type Ia supernovae from other variable sources, and use high performance computing techniques to measure the cosmological parameters using forward modelling techniques. The student will work closely with a team of international researchers in France, Germany, Sweden, Ireland and the USA to measure the 3D distribution of matter which will improve our understanding of Dark Energy and General Relativity. Lancaster University has a leading role in multiple state-of-the-art supernova experiments including DES, LS4, LSST, 4MOST, Euclid, ZTF and JWST. As the PhD develops, the student will be encouraged to join and collaborate on projects based upon their own interests. The most extreme explosions in the era of large discoveries Explosive astrophysical transients are uniquely powerful probes for understanding the fundamental evolution of the Universe at all cosmic scales: from the expansion history and growth of structure, measured using type Ia supernovae; down to the star-formation histories of galaxies in a cycle that drives cosmic nucleosynthesis. 
This PhD project aims to uncover and explain the rarest of astrophysical explosions. Our understanding of this picture is rapidly evolving: the extremes of the transient population now differ in luminosity and time-scale by many orders-of-magnitude, but no plausible physical explanation exists for either. Starting in 2026, the Legacy Survey of Space and Time (LSST) will revolutionise astrophysics: millions of new transients will be discovered each year. Combining these discoveries with high-cadenced photometric and spectroscopic data from projects lead by Lancaster astrophysics (LS4; TiDES), the student will develop unsupervised machine learning tools to identify ‘one in a billon’ events in real-time. Combining multi-wavelength observations with stellar populations, we will identify everything from the most luminous transients, to stars that vanish as black holes. 
The student will work at the forefront of multiple international collaborations, alongside experts in the USA and Europe, to pin down the stars and environments that produce the extremes of stellar death. Lancaster University has a leading role in multiple state-of-the-art supernova experiments including DES, LS4, LSST, 4MOST, Euclid, ZTF and JWST. As the PhD develops, the student will be encouraged to join and collaborate on projects based upon their own interests.