Abstract
This study presents GravAD, a novel approach for detecting gravitational waves using automatic differentiation and JAX. GravAD demonstrates comparable signal-to-noise ratio and mass values to established LIGO pipelines with a significant reduction in the number of templates. Limitations include the inability to handle binary neutron star systems and some lower-mass black holes. Leveraging JAX’s acceleration, GravAD offers potential as a rapid preliminary tool for gravitational wave detection. Future work includes further optimisation of functions, exploration of alternative optimisation algorithms, real-time data analysis adaptation, and expanding the scope to handle a broader range of astrophysical sources.
Publisher
Information Physics Institute
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