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Templates modeling just the dominant mode of gravitational radiation aregenerally sufficient for the unbiased parameter inference of near-equal-masscompact binary mergers. However, neglecting the subdominant modes can bias theinference if the binary is significantly asymmetric, very massive, or hasmisaligned spins. In this work, we explore if neglecting these subdominantmodes in the parameter estimation of non-spinning binary black hole mergers canbias the inference of their population-level properties such as mass and mergerredshift distributions. Assuming the design sensitivity of advanced LIGO-Virgodetector network, we find that neglecting subdominant modes will not cause asignificant bias in the population inference, although including them willprovide more precise estimates. This is primarily due to the fact thatasymmetric binaries are expected to be rarer in our detected sample, due totheir intrinsic rareness and the observational selection effects. The increasedprecision in the measurement of the maximum black hole mass can help in betterconstraining the upper mass gap in the mass spectrum.

Impact of higher harmonics of gravitational radiation on the population inference of binary black holes