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

Abstract

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.

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [3];  [3];  [1];  [4]; ORCiD logo [5];  [6];  [7];  [1];  [7];  [8];  [1];  [1];  [7];  [7];  [1]
  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)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1577319
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal. Supplement Series (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal. Supplement Series (Online); Journal Volume: 244; Journal Issue: 2; Journal ID: ISSN 1538-4365
Publisher:
American Astronomical Society/IOP
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; cosmology: observations; dark energy; galaxies: clusters: general; X-rays: galaxies: clusters

Citation Formats

Hollowood, Devon L., Jeltema, Tesla, Chen, Xinyi, Farahi, Arya, Evrard, August, Everett, Spencer, Rozo, Eduardo, Rykoff, Eli, Bernstein, Rebecca, Bermeo-Hernandez, Alberto, Eiger, Lena, Giles, Paul, Israel, Holger, Michel, Renee, Noorali, Raziq, Romer, A. Kathy, Rooney, Philip, and Splettstoesser, Megan. Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline. United States: N. p., 2019. Web. doi:10.3847/1538-4365/ab3d27.
Hollowood, Devon L., Jeltema, Tesla, Chen, Xinyi, Farahi, Arya, Evrard, August, Everett, Spencer, Rozo, Eduardo, Rykoff, Eli, Bernstein, Rebecca, Bermeo-Hernandez, Alberto, Eiger, Lena, Giles, Paul, Israel, Holger, Michel, Renee, Noorali, Raziq, Romer, A. Kathy, Rooney, Philip, & Splettstoesser, Megan. Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline. United States. https://doi.org/10.3847/1538-4365/ab3d27
Hollowood, Devon L., Jeltema, Tesla, Chen, Xinyi, Farahi, Arya, Evrard, August, Everett, Spencer, Rozo, Eduardo, Rykoff, Eli, Bernstein, Rebecca, Bermeo-Hernandez, Alberto, Eiger, Lena, Giles, Paul, Israel, Holger, Michel, Renee, Noorali, Raziq, Romer, A. Kathy, Rooney, Philip, and Splettstoesser, Megan. Tue . "Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline". United States. https://doi.org/10.3847/1538-4365/ab3d27. https://www.osti.gov/servlets/purl/1577319.
@article{osti_1577319,
title = {Chandra Follow-up of the SDSS DR8 Redmapper Catalog Using the MATCha Pipeline},
author = {Hollowood, Devon L. and Jeltema, Tesla and Chen, Xinyi and Farahi, Arya and Evrard, August and Everett, Spencer and Rozo, Eduardo and Rykoff, Eli and Bernstein, Rebecca and Bermeo-Hernandez, Alberto and Eiger, Lena and Giles, Paul and Israel, Holger and Michel, Renee and Noorali, Raziq and Romer, A. Kathy and Rooney, Philip and Splettstoesser, Megan},
abstractNote = {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.},
doi = {10.3847/1538-4365/ab3d27},
journal = {The Astrophysical Journal. Supplement Series (Online)},
number = 2,
volume = 244,
place = {United States},
year = {Tue Sep 24 00:00:00 EDT 2019},
month = {Tue Sep 24 00:00:00 EDT 2019}
}

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