Abstract:
The rst observation run of advanced LIGO returned a surprising 3 detections of coalescing
Binary Black Hole (BBH) systems. Having shown much promise as strong Gravitational
Wave candidates lying within the aLIGO detector sensitivity, e orts are now being directed
at ne-tuning our searches to detect more Compact Binary Coalescence (CBC) sources,
especially ones involving Neutron Stars. A combination of algorithmic and software speedup
strategies have been explored for achieving a low-latency detection of signals from these
systems, to generate timely alerts for Electromagnetic Follow-up observations. In this study,
we investigate another mathematical technique, called Random Projection,which guarantees
the preservation of information in high-dimensional data structures under projection to a
lower dimension following the Johnson-Lindenstrauss lemma. We explore the applicability
of Random Projections for reducing Gravitational Wave templates in order to speed up the
computation of matched filtering in the time domain.
