PIRSA:09040033

Probing Cosmology and Cluster Structure with the Sunyaev–Zel’dovich Decrement vs. X–ray Temperature Scaling Relation

Shang, C. (2009). Probing Cosmology and Cluster Structure with the Sunyaev–Zel’dovich Decrement vs. X–ray Temperature Scaling Relation. Perimeter Institute. https://pirsa.org/09040033

Shang, Cien. Probing Cosmology and Cluster Structure with the Sunyaev–Zel’dovich Decrement vs. X–ray Temperature Scaling Relation. Perimeter Institute, Apr. 27, 2009, https://pirsa.org/09040033 

          @misc{ pirsa_PIRSA:09040033,
            doi = {10.48660/09040033},
            url = {https://pirsa.org/09040033},
            author = {Shang, Cien},
            keywords = {Cosmology},
            language = {en},
            title = {Probing Cosmology and Cluster Structure with the Sunyaev{\textendash}Zel{\textquoteright}dovich Decrement vs. X{\textendash}ray Temperature Scaling Relation},
            publisher = {Perimeter Institute},
            year = {2009},
            month = {apr},
            note = {PIRSA:09040033 see, \url{https://pirsa.org}}
          }

Cien Shang Columbia University

DOI 10.48660/09040033
Collection
Talk Type Conference
Subject

Abstract

Scaling relations among galaxy cluster observables, which will become available in large future samples of galaxy clusters, could be used to constrain not only cluster structure,but also cosmology. I will discuss the utility of this approach, employing a physically motivated parametric model to describe cluster structure, and applying it to the expected relation between the Sunyaev-Zel’dovich decrement (S_{\nu}) and the emission–weighted X–ray temperature (Tew). With a suitable choice of fiducial parameter values, the cluster model satisfies several existing observational constraints. A Fisher matrix is employed to estimate the joint errors on cosmological and cluster structure parameters from a measurement of S_{\nu} vs. Tew in a future survey. I will also compare the cosmology constraints from the scaling relation to those expected from the number counts (dN/dz) of the same clusters.