首页|New Machine Learning Research Has Been Reported by a Researcher at Amirkabir Uni versity of Technology (Detection of open cluster members inside and beyond tidal radius by machine learning methods based on gaia DR3)
New Machine Learning Research Has Been Reported by a Researcher at Amirkabir Uni versity of Technology (Detection of open cluster members inside and beyond tidal radius by machine learning methods based on gaia DR3)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Tehran, Ira n, by NewsRx correspondents, research stated, “In our previous work, we introduc ed a method that combines two unsupervised algorithms: DBSCAN and GMM. We applie d this method to 12 open clusters based on Gaia EDR3 data, demonstrating its eff ectiveness in identifying reliable cluster members within the tidal radius.” Our news editors obtained a quote from the research from Amirkabir University of Technology: “However, for studying cluster morphology, we need a method capable of detecting members both inside and outside the tidal radius. By incorporating a supervised algorithm into our approach, we successfully identified members be yond the tidal radius. In our current work, we initially applied DBSCAN and GMM to identify reliable members of cluster stars. Subsequently, we trained the Rand om Forest algorithm using DBSCAN and GMM-selected data. Leveraging the random fo rest, we can identify cluster members outside the tidal radius and observe clust er morphology across a wide field of view. Our method was then applied to 15 ope n clusters based on Gaia DR3, which exhibit a wide range of metallicity, distanc es, members, and ages. Additionally, we calculated the tidal radius for each of the 15 clusters using the King profile and detected stars both inside and outsid e this radius. Finally, we investigated mass segregation and luminosity distribu tion within the clusters.”
Amirkabir University of TechnologyTehr anIranAsiaCyborgsEmerging TechnologiesMachine Learning
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