Mr Christian Chapman-Bird
- Research Assistant - PDRA on LISA Ground Segment (School of Physics & Astronomy)
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar and Clarity help us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Chapman-Bird, C. E.A., Berry, C. P.L. and Woan, G. (2023) Rapid determination of LISA sensitivity to extreme mass ratio inspirals with machine learning. Monthly Notices of the Royal Astronomical Society, 522(4), pp. 6043-6054. (doi: 10.1093/mnras/stad1397)
Chapman-Bird, C. E.A., Berry, C. P.L. and Woan, G. (2023) Rapid determination of LISA sensitivity to extreme mass ratio inspirals with machine learning. Monthly Notices of the Royal Astronomical Society, 522(4), pp. 6043-6054. (doi: 10.1093/mnras/stad1397)