Findings on Machine Learning Discussed by Investigators at Indian Institute of Astrophysics (Possibilities of Identifying Members From Milky Way Satellite Galaxies Using Unsupervised Machine Learning Algorithms)

Robotics & Machine Learning Daily News2024，Issue(Feb.16) ：69-70.DOI:10.1007/s12036-023-09990-4

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NETL
NSTL
Indian Acad Sciences

Findings on Machine Learning Discussed by Investigators at Indian Institute of Astrophysics (Possibilities of Identifying Members From Milky Way Satellite Galaxies Using Unsupervised Machine Learning Algorithms)

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Abstract

Research findings on Machine Learning are discussed in a new report. According to news originating from Bangalore, India, by NewsRx correspondents, research stated, "A detailed study of stellar populations in Milky Way (MW) satellite galaxies remains an observational challenge due to their faintness and fewer spectroscopically confirmedmember stars. We use unsupervised machine learning methods to identify new members for nine nearby MW satellite galaxies using Gaia data release-3 (Gaia DR3) astrometry, the Dark Energy Survey (DES) and the DECam Local Volume Exploration Survey (DELVE) photometry."

Key words

Bangalore/India/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Indian Institute of Astrophysics

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2024

Robotics & Machine Learning Daily News

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