Assessing Waveform Systematics in High Mass Ratio Binaries

Gravitational wave (GW) observations of binary black hole mergers detected by advanced LIGO (aLIGO) have revolutionized our understanding of compact objects. As detector sensitivities enhance, we anticipate an influx of new populations, particularly high mass ratio binaries. Parameter inference, the extraction of physical properties like masses, spins, and distances from GW signals, relies heavily on accurate waveform models. For high mass ratio systems, current models can introduce systematic errors, impacting the reliability of inferred parameters and scientific conclusions. We use the Rapid Iterative FiTting (RIFT) algorithm to assess these waveform systematics and improve model consistency. Addressing these issues is crucial for reliable GW observations, including those expected with future detectors like LISA.