Lundgren, Andrew

Research interests

My research in gravitational waves spans data analysis and detector characterization. I developed the first template bank that could detect spinning binaries by using ideas from Riemannian geometry. I have developed many of the analysis methods for dealing with non-ideal data, such as the method used to subtract a substantial unexpected noise coupling in the second observing run, which gained 30% extra sensitivity. I developed the method to remove loud artifacts which was used to localize the first binary neutron star despite and which is now used in every LIGO-Virgo search. 

I was one of two chairs of the LIGO Detector Characterization Working Group from the beginning of the O1 observing run to the beginning of O3. This group is responsible for ensuring the quality of the data. No detection can be made without validation by this group. I have personally investigated and solved the causes of many instrumental artifacts. I mentored several PhD students across LIGO in this role, leading to publications which illustrate our understanding of the complexities of our detectors. I was one of two detector experts on the GravitySpy project which combined citizen science and machine learning to classify all of the detector artifacts automatically. With the detectors out of service for the last three years, I have focused on the first rigorous modelling of noise processes for the careful detection of small effects.

I joined University of Portsmouth in 2017 and built a gravitational wave group at the ICG from scratch. We have three faculty (growing to four in September). We have funding from STFC, UKRI, and UK Space Agency for work in LIGO and in LISA, and played a large role in the ICG being ranked 6th nationally. I have also built a group of four research software engineers that develop software for both a wide variety of astrophysics projects and innovation projects, working with partners across the University and with external partners like the NHS and the World Food Program.