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Title: Galaxy Cluster Mass Reconstruction Project - II. Quantifying scatter and bias using contrasting mock catalogues

Journal Article · · Monthly Notices of the Royal Astronomical Society
 [1];  [2];  [3];  [4];  [1];  [5];  [1];  [6];  [7];  [8];  [9];  [1];  [10];  [1];  [11];  [12];  [13];  [13];  [14];  [15] more »;  [16];  [17];  [18];  [17] « less
  1. Univ. of Nottingham (United Kingdom). School of Physics and Astronomy
  2. Univ. of Copenhagen (Denmark). The Niels Bohr Inst.; Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States)
  3. National Centre for Scientific Research-Mixed Organizations (CNRS-UMR), Paris (France). Inst. of Astrophysics
  4. Univ. of California, San Diego, CA (United States). Center for Astrophysics and Space Sciences
  5. Swinburne Univ. of Technology, Hawthorn (Australia). Center for Astrophysics and Supercomputing
  6. Space Telescope Science Institute, Baltimore, MD (United States)
  7. National Inst. for Space Research, S.J. Campos (Brazil)
  8. Univ. of Antioquia (Columbia)
  9. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Astronomy
  10. Univ. of Copenhagen (Denmark). The Niels Bohr Inst.; Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology and Dept. of Physics and Astronomy
  11. Univ. of Leicester (United Kingdom). Dept. of Physics and Astronomy
  12. Leibniz Inst. for Astrophysics Potsdam (Germany)
  13. Univ. of Birmingham (United Kingdom). School of Physics and Astronomy
  14. SLAC National Accelerator Lab., Menlo Park, CA (United States); Univ. of Arizona, Tucson, AZ (United States). Dept. of Physics
  15. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  16. Ludwig Maximilian Univ., Munich (Germany). Dept. of Physics
  17. Tartu Observatory, Toravere (Estonia)
  18. Leiden Univ. (Netherlands). Leiden Observatory
+ Show Author Affiliations

Our paper is the second in a series in which we perform an extensive comparison of various galaxy-based cluster mass estimation techniques that utilize the positions, velocities and colours of galaxies. Our aim is to quantify the scatter, systematic bias and completeness of cluster masses derived from a diverse set of 25 galaxy-based methods using two contrasting mock galaxy catalogues based on a sophisticated halo occupation model and a semi-analytic model. Analysing 968 clusters, we find a wide range in the rms errors in log M200c delivered by the different methods (0.18–1.08 dex, i.e. a factor of ~1.5–12), with abundance-matching and richness methods providing the best results, irrespective of the input model assumptions. In addition, certain methods produce a significant number of catastrophic cases where the mass is under- or overestimated by a factor greater than 10. Given the steeply falling high-mass end of the cluster mass function, we recommend that richness- or abundance-matching-based methods are used in conjunction with these methods as a sanity check for studies selecting high-mass clusters. We also see a stronger correlation of the recovered to input number of galaxies for both catalogues in comparison with the group/cluster mass, however, this does not guarantee that the correct member galaxies are being selected. Finally, we did not observe significantly higher scatter for either mock galaxy catalogues. These results have implications for cosmological analyses that utilize the masses, richnesses, or abundances of clusters, which have different uncertainties when different methods are used.

Research Organization:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1336372
Report Number(s):
SLAC-PUB--16766; arXiv:1502.07347
Journal Information:
Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 2 Vol. 449; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (27)

The matter distribution in the local Universe as derived from galaxy groups in SDSS DR12 and 2MRS journal November 2016
Friends-of-friends galaxy group finder with membership refinement: Application to the local Universe⋆ journal March 2016
Merging groups and clusters of galaxies from the SDSS data: The catalogue of groups and potentially merging systems⋆ journal June 2017
Bayesian group finder based on marked point processes: Method and feasibility study using the 2MRS data set journal October 2018
Supercluster A2142 and collapse in action: infalling and merging groups and galaxy transformations journal December 2018
Structural and dynamical modeling of WINGS clusters: II. The orbital anisotropies of elliptical, spiral, and lenticular galaxies journal November 2019
The galaxy–subhalo connection in low-redshift galaxy clusters from weak gravitational lensing journal May 2018
Galaxy Cluster Mass Reconstruction Project – IV. Understanding the effects of imperfect membership on cluster mass estimation journal August 2018
First ranked galaxies of non-elliptical morphology journal November 2018
Galaxy kinematics and mass calibration in massive SZE-selected galaxy clusters to z  = 1.3 journal October 2018
The Cluster-EAGLE project: a comparison of dynamical mass estimators using simulated clusters journal October 2018
Using velocity dispersion to estimate halo mass: Is the Local Group in tension with ΛCDM? journal March 2018
Exploring relations between BCG and cluster properties in the SPectroscopic IDentification of eROSITA Sources survey from 0.05 < 0.3 journal June 2018
The influence of the dynamic state of galaxy clusters on segregation phenomena and velocity dispersion profiles journal December 2018
The Redmapper Galaxy Cluster Catalog from des Science Verification data journal May 2016
Investigating the Relation between Galaxy Properties and the Gaussianity of the Velocity Distribution of Groups and Clusters journal August 2017
A Versatile and Accurate Method for Halo Mass Determination from Phase-space Distribution of Satellite Galaxies journal November 2019
A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters journal December 2019
The Massive and Distant Clusters of WISE Survey. I. Survey Overview and a Catalog of >2000 Galaxy Clusters at z ≃ 1 journal February 2019
GalWeight Application: A Publicly Available Catalog of Dynamical Parameters of 1800 Galaxy Clusters from SDSS-DR13, (GalWCat19) journal December 2019
Friends-of-friends galaxy group finder with membership refinement. Application to the local Universe text January 2016
The galaxy-subhalo connection in low-redshift galaxy clusters from weak gravitational lensing text January 2017
Investigating the Relation between Galaxy Properties and the Gaussianity of the Velocity Distribution of Groups and Clusters text January 2017
The Cluster-EAGLE project: a comparison of dynamical mass estimators using simulated clusters text January 2018
Supercluster A2142 and collapse in action - infalling and merging groups and galaxy transformations text January 2018
The Influence of the Dynamic State of Galaxy Clusters on Segregation Phenomena and Velocity Dispersion Profiles text January 2018
GalWeight Application: A publicly-available catalog of dynamical parameters of 1,800 galaxy clusters from SDSS-DR13, ($\mathtt{GalWCat19}$) text January 2019

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
cosmology: observations
galaxies: haloes
galaxies: kinematics and dynamics
methods: numerical
methods: statistical