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We investigate the impact of a variety of analysis assumptions that influencecluster identification and location on the kSZ pairwise momentum signal andcovariance estimation. Photometric and spectroscopic galaxy tracers from SDSS,WISE, and DECaLs, spanning redshifts $0.05<z<0.7$, are considered incombination with CMB data from Planck and WMAP. With two complementarytechniques, analytic offset modeling and direct comparisons of redMaPPerbrightest and central catalog samples, we find that miscentering uncertaintiesaverage to $0.4-0.7\sigma$ for the Planck kSZ statistical error budget obtainedwith a jackknife estimator. We also find that jackknife covariance estimatesare significantly more conservative than those obtained by CMB rotationmethods. Using redMaPPer data, we concurrently compare the impact ofphotometric redshift errors and miscentering. At separations $<\sim 50$ Mpc,where the kSZ signal is largest, miscentering uncertainties can be comparableto JK errors, while photometric redshifts are lower but still significant.  For the next generation of CMB and LSS surveys the statistical andphotometric errors will shrink markedly. Our results demonstrate thatuncertainties introduced through using galaxy proxies for cluster locationswill need to be fully incorporated, and actively mitigated, for the kSZ toreach its full potential as a cosmological constraining tool for dark energyand neutrino physics.

Cluster mislocation in kinematic Sunyaev-Zel'dovich (kSZ) effect extraction