Biases on cosmological parameter estimators from galaxy cluster number counts

Understand

Sunyaev-Zel'dovich (SZ) surveys are promising probes of cosmology - in particular for Dark Energy (DE) -, given their ability to find distant clusters and provide estimates for their mass.

• However, current SZ catalogs contain tens to hundreds of objects and maximum likelihood estimators may present biases for such sample sizes.
• In this work we use the Monte Carlo approach to determine the presence of bias on cosmological parameter estimators from cluster abundance as a function of the area and depth of the survey, and the number of cosmological parameters fitted.
• Assuming perfect knowledge of mass and redshift some estimators have non-negligible biases.