We present optimized source galaxy selection schemes for measuring cluster weak lensing ( WL ) mass profiles unaffected by cluster member dilution from the Subaru Hyper Suprime-Cam Strategic Survey Program ( HSC-SSP ) .
The ongoing HSC-SSP survey will uncover thousands of galaxy clusters to z \lesssim 1.5 .
In deriving cluster masses via WL , a critical source of systematics is contamination and dilution of the lensing signal by cluster members , and by foreground galaxies whose photometric redshifts are biased .
Using the first-year CAMIRA catalog of \sim 900 clusters with richness larger than 20 found in \sim 140 deg ^ { 2 } of HSC-SSP data , we devise and compare several source selection methods , including selection in color-color space ( CC-cut ) , and selection of robust photometric redshifts by applying constraints on their cumulative probability distribution function ( PDF ; P-cut ) .
We examine the dependence of the contamination on the chosen limits adopted for each method .
Using the proper limits , these methods give mass profiles with minimal dilution in agreement with one another .
We find that not adopting either the CC-cut or P-cut methods results in an underestimation of the total cluster mass ( 13 \pm 4 \% ) and the concentration of the profile ( 24 \pm 11 \% ) .
The level of cluster contamination can reach as high as \sim 10 % at R \approx 0.24 \mathrm { Mpc } / h for low-z clusters without cuts , while employing either the P-cut or CC-cut results in cluster contamination consistent with zero to within the 0.5 % uncertainties .
Our robust methods yield a \sim 60 \sigma detection of the stacked CAMIRA surface mass density profile , with a mean mass of \mbox { $M _ { \mathrm { 200 c } } $ } = ( 1.67 \pm 0.05 ( { stat } ) ) \times \mbox { $ 10 ^ { 14 } M _ % { \odot } / h$ } .