An optical catalog of galaxy clusters obtained from an adaptive matched filter finder applied to SDSS DR9 data

Abstract

We present a new galaxy cluster catalog constructed from the Sloan Digital Sky Survey Data Release 9 (SDSS DR9) using an Adaptive Matched Filter (AMF) technique. Our catalog has 46,479 galaxy clusters with richness Λ 200 > 20 in the redshift range 0.045 ≤ z < 0.641 in ∼11,500 deg 2 of the sky. Angular position, richness, core and virial radii and redshift estimates for these clusters, as well as their error analysis, are provided as part of this catalog. In addition to the main version of the catalog, we also provide an extended version with a lower richness cut, containing 79,368 clusters. This version, in addition to the clusters in the main catalog, also contains those clusters (with richness 10 < Λ 200 < 20) which have a one-to-one match in the DR8 catalog developed by Wen et al (WHL). We obtain probabilities for cluster membership for each galaxy and implement several procedures for the identification and removal of false cluster detections.We cross-correlate the main AMF DR9 catalog with a number of cluster catalogs in different wavebands (Optical, X-ray). We compare our catalog with other SDSS-based ones such as the redMaPPer (26,350 clusters) and the Wen et al. (WHL) (132,684 clusters) in the same area of the sky and in the overlapping redshift range. We match 97% of the richest Abell clusters (Richness group 3), the same as WHL, while redMaPPer matches ∼ 90% of these clusters. Considering AMF DR9 richness bins, redMaPPer does not have one-to-one matches for 70% of our lowest richness clusters (20 < Λ 200 < 40), while WHL matches 54% of these missed clusters (not present in redMaPPer). redMaPPer consistently does not possess one-to-one matches for ∼20% AMF DR9 clusters with Λ 200 > 40, while WHL matches ≥70% of these missed clusters on average. For comparisons with X-ray clusters, we match the AMF catalog with BAX, MCXC and a combined catalog from NORAS and REFLEX. We consistently obtain a greater number of one-to-one matches for X-ray clusters across higher luminosity bins (L x > 6 × 10 44 ergs/sec) than redMaPPer while WHL matches the most clusters overall. For the most luminous clusters (L x > 8), our catalog performs equivalently to WHL. This new catalog provides a wider sample than redMaPPer while retaining many fewer objects than WHL.

Establishing a new technique for discovering large-scale structure using the ORELSE survey

“…This is especially true at higher redshift when the colors of galaxies populating overdensities begins to approach those galaxies in the field. In an attempt to mitigate such noise, photometric large-scale structure detection algorithms often use filters which make some assumptions about the properties of clusters they search for including, e.g., the shape or size of the overdensity profile or the extent of the overdensity in redshift space (e.g., Banerjee et al 2018). Including spectroscopic redshifts, with their greater than order of magnitude higher precision and accuracy, can also help mitigate such projection effects, but spectroscopy must be unbiased with respect to the underlying galaxy population in order to avoid biasing the overdensity search.…”

A catalogue of clusters of galaxies identified from all sky surveys of 2MASS, WISE, and SuperCOSMOS

“…In the sky region of SDSS coverage, we have got 23,366 clusters identified from the 2MASS, WISE and SuperCOSMOS survey data, but a large number of galaxy clusters there have been identified previously from the SDSS photometric data, for example, 13,823 clusters in the maxBCG catalogue (Koester et al 2007), 39,668 clusters in the WHL09 catalogue (Wen et al 2009), 55,424 clusters in the GMBCG catalogue (Hao et al 2010), 69,173 clusters in the AMF catalogue (Szabo et al 2011) and 46,479 clusters in the updated AMF catalogue (Banerjee et al 2018), 25,325 clusters in the redMaPPer catalogue ) and 26,311 clusters in the updated redMaPPer catalogue (Rykoff et al 2016), and 71,743 clusters in the CAMIRA catalogue (Oguri 2014). Crossmatching with the largest catalogue containing 158,103 clusters (WHL, Wen et al 2012;Wen & Han 2015) shows that 66% of 23,366 clusters can be matched with the WHL clusters within a redshift difference < 0.05(1 + z) and a projected separation <1 Mpc (see Fig.…”

“…Recent years, the Sloan Digital Sky Survey (SDSS, York et al 2000) provides a great data base for identification of galaxy clusters. Galaxy clusters or groups have been identified from the SDSS spectroscopic data (e.g., Merchán & Zandivarez 2005;Berlind et al 2006;Tago et al 2010;Tempel et al 2014) or the five-band photometric data (e.g., Goto et al 2002;Koester et al 2007;Wen et al 2009;Hao et al 2010;Szabo et al 2011;Rykoff et al 2014Rykoff et al , 2016Banerjee et al 2018). Currently, the largest catalogue contains 158103 clusters detected in the sky area of 14,000 deg 2 (Wen et al 2012;Wen & Han 2015).…”

Bounds on WIMP dark matter from galaxy clusters at low redshift

“…• SDSSDR9 is a collections of SDSS clusters selected with a model for the galaxy distribution based on cluster density radial profile, the galaxy luminosity function and the redshift; the total number of clusters for this catalogue is 49,479 Banerjee et al (2018):…”