Approximating the gravitational-wave response on a continuous parameter space

Gravitational-wave searches discretely sample the signal parameter space to balance computational requirements and signal losses arising from differences between the modeled and observed emission. Previous work has shown that it is possible to project the signal space onto a reduced basis produced by singular value decomposition to reduce the number of required filters while also allowing efficient reconstruction of arbitrary points in the space. We extend previous work and describe methods that allow for fast approximations of SNRs for arbitrary signal parameters, and we discuss applications to low-latency parameter estimation.