Computer Science
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006hst..prop10968p&link_type=abstract
HST Proposal ID #10968. Cycle 15
Computer Science
Scientific paper
We propose a novel approach to directly detect and study stellar clusters in their later stages of dissolution by using a clustering algorithm on resolved stars in nearby galaxies. Traditional studies of stellar clusters focus on young clusters which are still bright and compact enough to be separated from the background field population. The new approach presented here is to use a clustering algorithm on spatial maps of individual stars to study dissolving clusters. In this study, we will use the exceptional spatial resolution and field of view of ACS to resolve individual stars in three nearby galaxies. Using color-magnitude diagrams, we will isolate and spatially map stars more likely to be part of dissolving clusters A-type stars and earlier. A clustering algorithm, adapted here for these stellar maps, will reveal and quantify the properties of all star clusters compactness, shape. Then, even the less compact clusters will be revealed while they are being destroyed. For the first time, this study will bring a gold mine of information on the faintest and dissolving clusters in various environments morphology and potential well of the host galaxy and over a timescale of about 100 Myr, revealing fundamental clues on the dynamical evolution of stellar clusters. In particular, we will explore and quantify, for the first time, stellar clusters in their advanced stages of evolution.
No associations
LandOfFree
Catching Dissolving Clusters: the Resolved Stellar Populations Approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Catching Dissolving Clusters: the Resolved Stellar Populations Approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Catching Dissolving Clusters: the Resolved Stellar Populations Approach will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1793179