Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline

Journal Article · 23 September 2019 · The Astrophysical Journal. Supplement Series (Online)

DOI: https://doi.org/10.3847/1538-4365/ab3d27 · OSTI ID:1577319

Hollowood, Devon L.  ^[1]; Jeltema, Tesla ^[1]; Chen, Xinyi ^[2]; Farahi, Arya  ^[3]; Evrard, August ^[3]; Everett, Spencer ^[1]; Rozo, Eduardo ^[4]; Rykoff, Eli  ^[5]; Bernstein, Rebecca ^[6]; Bermeo-Hernandez, Alberto ^[7]; Eiger, Lena ^[1]; Giles, Paul ^[7]; Israel, Holger ^[8]; Michel, Renee ^[1]; Noorali, Raziq ^[1]; Romer, A. Kathy ^[7]; Rooney, Philip ^[7]; Splettstoesser, Megan ^[1]

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1. Santa Cruz Inst. for Particle Physics, Santa Cruz, CA (United States); Univ. of California Santa Cruz, Santa Cruz, CA (United States)
2. Univ. of Michigan, Ann Arbor, MI (United States); Yale Univ., New Haven, CT (United States)
3. Univ. of Michigan, Ann Arbor, MI (United States)
4. Univ. of Arizona, Tucson, AZ (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
5. SLAC National Accelerator Lab., Menlo Park, CA (United States)
6. Observatories of the Carnegie Inst. of Washington, Pasadena, CA (United States)
7. Univ. of Sussex, Brighton (United Kingdom)
8. LMU Munchen, Munchen (Germany)

In order to place constraints on cosmology through optical surveys of galaxy clusters, one must first understand the properties of those clusters. To this end, we introduce the Mass Analysis Tool for Chandra (MATCha), a pipeline that uses a parallellized algorithm to analyze archival Chandra data. MATCha simultaneously calculates X-ray temperatures and luminosities and performs centering measurements for hundreds of potential galaxy clusters using archival X-ray exposures. We run MATCha on the redMaPPer SDSS DR8 cluster catalog and use MATCha's output X-ray temperatures and luminosities to analyze the galaxy cluster temperature–richness, luminosity–richness, luminosity–temperature, and temperature–luminosity scaling relations. We detect 447 clusters and determine 246 r ₂₅₀₀ temperatures across all redshifts. Within 0.1 < z < 0.35, we find that r ₂₅₀₀ T _X scales with optical richness (λ) as $$\mathrm{ln}\left(\tfrac{{k}_{B}{T}_{{\rm{X}}}}{1.0\,\mathrm{keV}}\right)=(0.52\pm 0.05)\mathrm{ln}\left(\tfrac{\lambda }{70}\right)+(1.85\pm 0.03)$$ with an intrinsic scatter of $$0.27\pm 0.02$$ ($$1\sigma $$). We investigate the distribution of offsets between the X-ray center and redMaPPer center within 0.1 < z < 0.35, finding that 68%.3 ± 6.5% of clusters are well-centered. However, we find a broad tail of large offsets in this distribution, and we explore some of the causes of redMaPPer miscentering.

• Research Organization: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC02-76SF00515
• OSTI ID: 1577319
• Journal Information: The Astrophysical Journal. Supplement Series (Online), Journal Name: The Astrophysical Journal. Supplement Series (Online) Journal Issue: 2 Vol. 244; ISSN 1538-4365
• Publisher: American Astronomical Society/IOPCopyright Statement
• Country of Publication: United States
• Language: English