An Improved Cluster Richness Estimator

نویسندگان

  • EDUARDO ROZO
  • ELI S. RYKOFF
  • BENJAMIN P. KOESTER
  • TIMOTHY MCKAY
  • JIANGANG HAO
  • H. WECHSLER
  • SARAH HANSEN
  • ERIN SHELDON
  • DAVID JOHNSTON
  • MATTHEW BECKER
  • JAMES ANNIS
  • RYAN SCRANTON
چکیده

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 LX −richness relation, from σ2 ln LX = (0.86± 0.02)2 to σ2 ln LX = (0.69± 0.02)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 LX −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. Subject headings: galaxies: clusters – X-rays: galaxies: clusters

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تاریخ انتشار 2008