Source selection for cluster weak lensing measurements in the Hyper Suprime-Cam survey

作者：Medezinski Elinor^*; Oguri Masamune; Nishizawa Atsushi J; Speagle Joshua S; Miyatake Hironao; Umetsu Keiichi; Leauthaud Alexie; Murata Ryoma; Mandelbaum Rachel; Sifon Cristobal; Strauss Michael A; Huang Song; Simet Melanie; Okabe Nobuhiro; Tanaka Masayuki; Komiyama Yutaka

来源：Publications of the Astronomical Society of Japan, 2018, 70(2): 30.

DOI：10.1093/pasj/psy009

• dark matter
• galaxies: clusters: general
• gravitational lensing: weak

We present optimized source galaxy selection schemes for measuring cluster weak lensing (WL) mass profiles unaffected by clustermember 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 less than or similar to 1.5. In deriving cluster masses viaWL, 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 similar to 900 clusters with richness larger than 20 found in similar to 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 (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% +/- 4%) and the concentration of the profile (24% +/- 11%). The level of cluster contamination can reach as high as similar to 10% at R approximate to 0.24 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 similar to 60 sigma detection of the stacked CAMIRA surface mass density profile, with a mean mass of M-200c = [1.67 +/- 0.05(stat)] x 10(14) M-circle dot/h.

• 出版日期2018-3