How To Do Data Mining in Astronomy Imaging Surveys and How To Understand The Selected Sample?

Abstract

Modern astronomy imaging surveys are powerful machines to systematically scan through the night sky generating tera- to peta-bytes of imaging data.? In this talk, I pose the challenges of how to find interesting galaxies in this huge data set and how to understand the selection as well as the selected sample. I will use extended emission line galaxies as an example, which have particular colors and irregular morphologies. I seek insights and suggestions on these data challenges.