A Statistical Strategy for the Sunyaev-Zeldovich Effect's Cluster Data | Zendy

Jounghun Lee | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Statistical Strategy for the Sunyaev-Zeldovich Effect's Cluster Data

Author(s) -

Jounghun Lee

Publication year - 2002

Publication title -

the astrophysical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.376

H-Index - 489

eISSN - 1538-4357

pISSN - 0004-637X

DOI - 10.1086/344471

Subject(s) - physics , cluster (spacecraft) , amplitude , noise (video) , luminosity , monte carlo method , luminosity function , deconvolution , range (aeronautics) , cutoff , astrophysics , statistics , optics , mathematics , computer science , galaxy , materials science , composite material , artificial intelligence , image (mathematics) , programming language , quantum mechanics

We present a statistical strategy for the efficient determination of thecluster luminosity function from the Sunyaev-Zel'dovich (SZ) effects survey. Todetermine the cluster luminosity function from the noise contaminated SZ map,we first define the zeroth-order cluster luminosity function as a discrepancybetween the measured peak number density of the SZ map and the mean numberdensity of noise. Then we demonstrate that the noise contamination effects canbe removed by the stabilized deconvolution of the zeroth-order clusterluminosity function with the one-dimensional Gaussian distribution. We testthis analysis technique against Monte-Carlo simulations, and find that it worksquite well especially in the medium amplitude range where the conventionalcluster identification method based on the threshold cut-off usually fails.Comment: final version, accepted by ApJ Letter

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research