Abstract
We present our study of the best sky survey, or data analysis , strategy to search for uncharted start clusters. An artificial cluster has been generated , assuming a nominal mass function and mass-luminosity relation , and then is simulated at different heliocentric
distances against a general observed Galactic line of sight. Here we showcase the results of the simulations of such a cluster seen toward the Galactic center and the anticancer , based on the USNO catalog. We demonstrate how going fainter in the limiting magnitude, hence including more member starts in the cluster , extends proportionally much more filed starts, thereby lessening the density cons tract in a cluster search algorithm by start-counting. An optimal selection to crop the magnitude range in the analysis pipeline is discussed.