PIRSA:10060081

Hybrid waveforms for binary black holes with aligned spins: Matching errors and a phenomenological model in the frequency domain

Ohme, F. (2010). Hybrid waveforms for binary black holes with aligned spins: Matching errors and a phenomenological model in the frequency domain. Perimeter Institute. https://pirsa.org/10060081

Ohme, Frank. Hybrid waveforms for binary black holes with aligned spins: Matching errors and a phenomenological model in the frequency domain. Perimeter Institute, Jun. 25, 2010, https://pirsa.org/10060081 

          @misc{ pirsa_PIRSA:10060081,
            doi = {10.48660/10060081},
            url = {https://pirsa.org/10060081},
            author = {Ohme, Frank},
            keywords = {},
            language = {en},
            title = {Hybrid waveforms for binary black holes with aligned spins: Matching errors and a phenomenological model in the frequency domain},
            publisher = {Perimeter Institute},
            year = {2010},
            month = {jun},
            note = {PIRSA:10060081 see, \url{https://pirsa.org}}
          }

Frank Ohme

Max Planck Institute for Gravitational Physics - Albert Einstein Institute (AEI)

Talk number
PIRSA:10060081
Collection
Talk Type
Abstract
We present a new construction of phenomenological templates for non-precessing spinning black hole binaries. This approach utilizes a frequency domain matching of post-Newtonian inspiral waveforms with numerical relativity based binary black hole coalescence waveforms. We quantify the various possible sources of systematic errors that could arise in matching post-Newtonian and numerical relativity waveforms and we use a matching criteria based on minimizing these errors. An analytical formula for the dominant mode of the gravitational radiation of non-precessing black-hole binaries is presented that captures the phenomenology of the hybrid waveforms. Its implementation in the current searches for gravitational waves should allow cross-checks of other inspiral-merger-ringdown waveform families as well as an improvement of the reach of the detection algorithms.