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  • Star clusters vary greatly in terms of mass  +
  • a team of eight astronomers searched through each image  +
  • age  +
  • and local environment. As a result  +
  • and other aspects of the object. In other clusters  +
  • and sizes into some of the PHAT images. By identifying both real and synthetic clusters  +
  • in prep.). With these ages and masses in hand  +
  • it is important for us to learn what kinds of clusters we can actually see. For this reason  +
  • manually identifying star clusters by eye. Using less than 1/5th the total PHAT survey area  +
  • mass  +
  • masses  +
  • size  +
  • star clusters can appear quite different fstar clusters can appear quite different from one another depending on the properties of the clusters and where they are located in the galaxy. This makes the process of identifying clusters tricky and difficult to automate. From the first year of PHAT dataautomate. From the first year of PHAT data  +
  • we can resolve individual stars that allow us to determine the age  +
  • we can use the summed light from a cluster to determine its properties (Fouesneau+ 2012  +
  • we cataloged about 600 star clusters (Johnson+ 2012). With the Andromeda Project  +
  • we have inserted realistic synthetic clusters with known ages  +
  • we hope that you will help us find the thousands of star clusters hiding in the rest of the survey! Because the appearances of star clusters vary so much  +
  • we will learn what types of clusters are uwe will learn what types of clusters are undetectable in Andromeda. This information is critical for understanding the age and mass distributions of the clusters by allowing us to determine whether certain populations of clusters do not exist or if they are simply avoiding detection.</br></br>After you help us to find these star clusterser you help us to find these star clusters  +
  • we will use several techniques to determine the age and mass of these objects. In some clusters  +