English

An Improved Cluster Richness Estimator

Astrophysics 2008-09-18 v1

Abstract

Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L_X-richness relation, from \sigma_{\ln L_X}^2=(0.86\pm0.02)^2 to \sigma_{\ln L_X}^2=(0.69\pm0.02)^2. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L_X-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.

Keywords

Cite

@article{arxiv.0809.2797,
  title  = {An Improved Cluster Richness Estimator},
  author = {Eduardo Rozo and Eli S. Rykoff and Benjamin P. Koester and Timothy McKay and Jiangang Hao and August Evrard and Risa H. Wechsler and Sarah Hansen and Erin Sheldon and David Johnston and Matthew Becker and James Annis and Lindsey Bleem and Ryan Scranton},
  journal= {arXiv preprint arXiv:0809.2797},
  year   = {2008}
}

Comments

12 pages, 5 figures, submitted to ApJ

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