Mock catalogs designed for the Hyper Suprime-CamSubaru Strategic Program

• Main Authors: Sheng-Chieh Lin, 林聖傑
• Other Authors: Tzihong Chiueh
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/22w7mc

碩士 === 國立臺灣大學 === 天文物理研究所 === 105 === The galaxy cluster sciences have been flourishing in modern times due to the successful wide field surveys, such as the Sloan Digital Sky Survey (SDSS), the Hyper Suprime-Cam Subaru Strategic Program (HSC) and the Dark Energy Survey (DES). To study physical properties of these massive gravitational systems statistically, mock catalogs are an useful tool for evaluating statistical uncertainties in measurements and quantifying the observational selection bias. We present two types of mock catalogs designed for different purposes in the HSC cluster survey. One is for quantitatively studying the completeness and purity of the cluster sample, and the other is for statistical analysis. 1. To validate cross correlation methods, we construct a general photometric mock galaxy catalog based on the MICE-Grand Challenge Galaxy Catalog generated by combining Halo Occupation Distribution (HOD) method with Sub-halo Abundance Matching (SHAM). For the original MICE galaxy catalog, it covers an area over 5000 deg2 out to redshift z < 1.4 and is complete down to an intrinsic magnitude Mr < −18.9. We extract a patch of a 200 deg2 area and derive physical properties of galaxies, such as stellar mass and photometric redshift, from the DES and the Vista Hemisphere Survey (VHS) photometry originally provided by the MICE catalog. We also include observational artifacts, like bright star masks and irregular survey boundary. 2. For second type of mocks, we present a set of mock galaxy catalogs designed for cluster detection in the HSC survey. The catalogs are generated using real galaxies identified in the S16A release of HSC survey and a halo catalog from an N-body simulation. Our mock clusters span the redshift range from 0.3 to 1.2 with the mass range 1013M⊙ < M200 < 2 × 1014M⊙. To mimic realistic observation conditions, we make use of the HSC galaxy catalog in the COSMOS field as the field population and combine it with our mock cluster galaxies, adopting masked regions where no galaxies are in them. The CAMIRA algorithm is run on 90 such sets of mock catalogs. By cross-matching the result with halo catalogs, we investigate the purity and completeness of CAMIRA detected mock clusters, and find that the purity of the CAMIRA mock clusters is greater than 0.95, which indicates that most of the clusters detected by CAMIRA are true clusters in mocks. For the completeness, we find that it is correlated with the halo mass and redshift. The completeness is high at the high mass end and starts to drop once halo masses are lower than 1.4 × 1014M⊙. Given a halo mass, the completeness is higher at lower redshift and becomes lower at higher redshift.