Nonlinear memory in numerical waveforms

          @misc{ pirsa_PIRSA:10060087,
            doi = {10.48660/10060087},
            url = {https://pirsa.org/10060087},
            author = {Pollney, Denis},
            keywords = {},
            language = {en},
            title = {Nonlinear memory in numerical waveforms},
            publisher = {Perimeter Institute},
            year = {2010},
            month = {jun},
            note = {PIRSA:10060087 see, \url{https://pirsa.org}}
          }
          

Abstract

In addition to the dominant oscillatory modes gravitational waves contain non-oscillatory components which arise as drifts or offsets in the signals. Nonlinear gravitational memory arises from a change in mass multipole moments of a boundsystem due to contributions from the emitted gravitationalwaves. In practice it appears as a slowly monotonically growingsignal during the inspiral which sees a rapid rise at thetime of merger. The low amplitude and non-oscillatory natureof these signals present unique challenges for modeling.I discuss recent efforts to evaluate these signals in numericalsimulations using characteristic extraction as well as theirpotential relevance to detection.