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We use cosmic microwave background (CMB) temperature maps from the 500deg$^{2}$ SPTpol survey to measure the stacked lensing convergence of galaxyclusters from the Dark Energy Survey (DES) Year-3 redMaPPer (RM) clustercatalog. The lensing signal is extracted through a modified quadratic estimatordesigned to be unbiased by the thermal Sunyaev-Zel{'}dovich (tSZ) effect. Themodified estimator uses a tSZ-free map, constructed from the SPTpol 95 and 150GHz datasets, to estimate the background CMB gradient. For lensingreconstruction, we employ two versions of the RM catalog: a flux-limited samplecontaining 4003 clusters and a volume-limited sample with 1741 clusters. Wedetect lensing at a significance of 8.7$\sigma$(6.7$\sigma$) with theflux(volume)-limited sample. By modeling the reconstructed convergence usingthe Navarro-Frenk-White profile, we find the average lensing masses to be$M_{200m}$ = ($1.62^{+0.32}_{-0.25}$ [stat.] $\pm$ 0.04 [sys.]) and($1.28^{+0.14}_{-0.18}$ [stat.] $\pm$ 0.03 [sys.]) $\times\ 10^{14}\ M_{\odot}$for the volume- and flux-limited samples respectively. The systematic errorbudget is much smaller than the statistical uncertainty and is dominated by theuncertainties in the RM cluster centroids. We use the volume-limited sample tocalibrate the normalization of the mass-richness scaling relation, and find aresult consistent with the galaxy weak-lensing measurements from DES(Mcclintock et al. 2018).

Mass Calibration of Optically Selected DES clusters using a Measurement of CMB-Cluster Lensing with SPTpol Data