Polarization data will soon provide the best method for measuring the CMB lensing potential, although these data are potentially sensitive to several instrumental effects, including beam asymmetry, polarization angle uncertainties and sky coverage, as well as analysis choices, such as masking. We derive bias-hardened lensing estimators to mitigate these effects, at the expense of larger reconstruction noise, and we test them numerically on simulated data. We find that the mean-field bias from masking is significant for the EE quadratic lensing estimator. On the one hand, the bias-hardened estimator combined with filtering techniques can mitigate the mean field. On the other hand, the EB estimator does not significantly suffer from the mean field due to the point source masks and survey window function. However, the contamination from beam asymmetry and polarization angle uncertainties can generate mean-field biases for the EB estimator. These can also be mitigated using bias-hardened estimators, with at most a factor of ∼3 degradation of noise level compared to the conventional approach.
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