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名稱Title
2018天文年會
國立金門大學
5月18日至20日

論文摘要

Using Machine Learning to Search the OIR Characteristics of Water Maser Galaxies

[ Poster PS56 ]

Wen-Tse Chien(National Sun Yat-sen University); Cheng-Yu Kuo (National Sun Yat-sen University)

The Hubble constant (H₀) is an important parameter in cosmology. The Megamaser Cosmology Project (MCP) observed the water maser galaxies to improve the accuracy of H₀ in the past decade. However, few water maser galaxies were found, and that led the low reliability of the result. To get an effective way to find more water maser galaxies, we used machine learning to search the OIR characteristics of water maser galaxies. In the future, the characteristics can help us to enhance the detection rate of water maser galaxies. And finding more water maser galaxies will lead us to measure a reliable accurate H₀.