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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. 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, & 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 = {2019},
month = {9}
}

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Works referenced in this record:

CIAO: Chandra's data analysis system
conference, June 2006

  • Fruscione, Antonella; McDowell, Jonathan C.; Allen, Glenn E.
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.671760

Dark Energy Surveyed Year 1 results: calibration of cluster mis-centring in the redMaPPer catalogues
journal, May 2019

  • Zhang, Y.; Jeltema, T.; Hollowood, D. L.
  • Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 2
  • DOI: 10.1093/mnras/stz1361

χ 2 AND POISSONIAN DATA: BIASES EVEN IN THE HIGH-COUNT REGIME AND HOW TO AVOID THEM
journal, March 2009


INTRACLUSTER MEDIUM ENTROPY PROFILES FOR A CHANDRA ARCHIVAL SAMPLE OF GALAXY CLUSTERS
journal, April 2009

  • Cavagnolo, Kenneth W.; Donahue, Megan; Voit, G. Mark
  • The Astrophysical Journal Supplement Series, Vol. 182, Issue 1
  • DOI: 10.1088/0067-0049/182/1/12

redMaPPer II: X-RAY AND SZ PERFORMANCE BENCHMARKS FOR THE SDSS CATALOG
journal, February 2014


Cross-calibrating X-ray detectors with clusters of galaxies: an IACHEC study
journal, November 2010


Dark Energy and the Accelerating Universe
journal, September 2008


Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data
journal, May 2017

  • Melchior, P.; Gruen, D.; McClintock, T.
  • Monthly Notices of the Royal Astronomical Society, Vol. 469, Issue 4
  • DOI: 10.1093/mnras/stx1053

Abundances of the elements: Meteoritic and solar
journal, January 1989


redMaPPer – IV. Photometric membership identification of red cluster galaxies with 1 per cent precision
journal, August 2015

  • Rozo, E.; Rykoff, E. S.; Becker, M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 453, Issue 1
  • DOI: 10.1093/mnras/stv1560

The Redmapper Galaxy Cluster Catalog from des Science Verification data
journal, May 2016

  • Rykoff, E. S.; Rozo, E.; Hollowood, D.
  • The Astrophysical Journal Supplement Series, Vol. 224, Issue 1
  • DOI: 10.3847/0067-0049/224/1/1

Chandra measurements of a complete sample of X-ray luminous galaxy clusters: the luminosity–mass relation
journal, October 2016

  • Giles, P. A.; Maughan, B. J.; Dahle, H.
  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 1
  • DOI: 10.1093/mnras/stw2621

A weak Lensing Study of X-Ray Groups in the Cosmos Survey: form and Evolution of the Mass-Luminosity Relation
journal, December 2009

  • Leauthaud, Alexie; Finoguenov, Alexis; Kneib, Jean-Paul
  • The Astrophysical Journal, Vol. 709, Issue 1
  • DOI: 10.1088/0004-637X/709/1/97

The evolution of active galactic nuclei in clusters of galaxies from the Dark Energy Survey
journal, November 2016

  • Bufanda, E.; Hollowood, D.; Jeltema, T. E.
  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 3
  • DOI: 10.1093/mnras/stw2824

The Eighth data Release of the Sloan Digital sky Survey: First data from Sdss-Iii
journal, March 2011

  • Aihara, Hiroaki; Allende Prieto, Carlos; An, Deokkeun
  • The Astrophysical Journal Supplement Series, Vol. 193, Issue 2
  • DOI: 10.1088/0067-0049/193/2/29

The spatial correlation function of rich clusters of galaxies
journal, July 1983

  • Bahcall, N. A.; Soneira, R. M.
  • The Astrophysical Journal, Vol. 270
  • DOI: 10.1086/161094

IMPACT OF CHANDRA CALIBRATION UNCERTAINTIES ON GALAXY CLUSTER TEMPERATURES: APPLICATION TO THE HUBBLE CONSTANT
journal, August 2010


redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
journal, April 2014


Constraining dark energy with clusters: Complementarity with other probes
journal, September 2009


Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters
journal, October 2018

  • McClintock, T.; Varga, T. N.; Gruen, D.
  • Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 1
  • DOI: 10.1093/mnras/sty2711

Weak lensing measurement of the mass–richness relation of SDSS redMaPPer clusters
journal, December 2016

  • Simet, Melanie; McClintock, Tom; Mandelbaum, Rachel
  • Monthly Notices of the Royal Astronomical Society, Vol. 466, Issue 3
  • DOI: 10.1093/mnras/stw3250

Weighing the Giants – I. Weak-lensing masses for 51 massive galaxy clusters: project overview, data analysis methods and cluster images
journal, February 2014

  • von der Linden, Anja; Allen, Mark T.; Applegate, Douglas E.
  • Monthly Notices of the Royal Astronomical Society, Vol. 439, Issue 1
  • DOI: 10.1093/mnras/stt1945

Hyper Suprime-Cam
conference, October 2012

  • Miyazaki, Satoshi; Komiyama, Yutaka; Nakaya, Hidehiko
  • SPIE Astronomical Telescopes + Instrumentation, SPIE Proceedings
  • DOI: 10.1117/12.926844

Self-similar scaling and evolution in the galaxy cluster X-ray luminosity-temperature relation
journal, February 2012


Next generation cosmology: constraints from the Euclid galaxy cluster survey
journal, March 2016

  • Sartoris, B.; Biviano, A.; Fedeli, C.
  • Monthly Notices of the Royal Astronomical Society, Vol. 459, Issue 2
  • DOI: 10.1093/mnras/stw630

Some Aspects of Measurement Error in Linear Regression of Astronomical Data
journal, August 2007

  • Kelly, Brandon C.
  • The Astrophysical Journal, Vol. 665, Issue 2
  • DOI: 10.1086/519947

XMM-Newton and Chandra cross-calibration using HIFLUGCS galaxy clusters : Systematic temperature differences and cosmological impact⋆
journal, February 2015


Cosmological Parameters from Observations of Galaxy Clusters
journal, September 2011


The XMM Cluster Survey: X-ray analysis methodology: XCS: x-ray analysis methodology
journal, October 2011

  • Lloyd-Davies, E. J.; Romer, A. Kathy; Mehrtens, Nicola
  • Monthly Notices of the Royal Astronomical Society, Vol. 418, Issue 1
  • DOI: 10.1111/j.1365-2966.2011.19117.x

Robust Optical Richness Estimation with Reduced Scatter
journal, February 2012


H I in the Galaxy
journal, September 1990


Linear Regression for Astronomical Data with Measurement Errors and Intrinsic Scatter
journal, October 1996

  • Akritas, Michael G.; Bershady, Matthew A.
  • The Astrophysical Journal, Vol. 470
  • DOI: 10.1086/177901

The X-ray properties of optically selected clusters of galaxies
journal, March 2013

  • Hicks, A. K.; Pratt, G. W.; Donahue, M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 431, Issue 3
  • DOI: 10.1093/mnras/stt348

Observational probes of cosmic acceleration
journal, September 2013


A low-scatter survey-based mass proxy for clusters of galaxies
journal, November 2012


The Dark Energy Survey
journal, November 2010


Tracing cosmic evolution with clusters of galaxies
journal, April 2005


The structural and scaling properties of nearby galaxy clusters: II. The
journal, September 2005


Combining cluster observables and stacked weak lensing to probe dark energy: Self-calibration of systematic uncertainties
journal, January 2011


Annealing a Follow-Up Program: Improvement of the dark Energy Figure of Merit for Optical Galaxy Cluster Surveys
journal, March 2010


The observed growth of massive galaxy clusters - II. X-ray scaling relations: Cluster growth: X-ray scaling relations
journal, July 2010


CHANDRA CLUSTER COSMOLOGY PROJECT III: COSMOLOGICAL PARAMETER CONSTRAINTS
journal, February 2009


The observed growth of massive galaxy clusters - I. Statistical methods and cosmological constraints: Cluster growth: methods and cosmology
journal, July 2010


Modelling projection effects in optically selected cluster catalogues
journal, October 2018

  • Costanzi, M.; Rozo, E.; Rykoff, E. S.
  • Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 1
  • DOI: 10.1093/mnras/sty2665