The noise produced by the inspiral of millions of white dwarf binaries in the Milky Way may pose a threat to one of the main goals of the space-based LISA mission: the detection of massive black hole binary mergers. We present a novel study for reconstruction of merger waveforms in the presence of Galactic confusion noise using dictionary learning. We discuss the limitations of untangling signals from binaries with total mass from ${10}^2{\mathrm{M}}_{\odot }$ to ${10}^4{\mathrm{M}}_{\odot }$. Our method proves extremely successful for binaries with total mass greater than $\sim 3\times {10}^3{\mathrm{M}}_{\odot }$ up to redshift 3 in conservative scenarios, and up to redshift 7.5 in optimistic scenarios. In addition, consistently good waveform reconstruction of merger events is found if the signal-to-noise ratio is approximately 5 or greater.

Close

PrevNext

View figure in article

• Gravitational waves