首页|Investigators from German Electron Synchrotron (DESY) Target Machine Learning (M achine Learning Applications In Studies of the Physical Properties of Active Gal actic Nuclei Based On Photometric Observations)
Investigators from German Electron Synchrotron (DESY) Target Machine Learning (M achine Learning Applications In Studies of the Physical Properties of Active Gal actic Nuclei Based On Photometric Observations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Zeuthen, Germany, by NewsRx corres pondents, research stated, “We investigate the physical natureof active galacti c nuclei (AGNs) using machine learning (ML) tools. We show that the redshift, z,bolometric luminosity, L-Bol, central mass of the supermassive black hole (SMBH ), M-BH, Eddington ratio,lambda(Edd), and AGN class (obscured or unobscured) ca n be reconstructed through multi-wavelengthphotometric observations only.”
ZeuthenGermanyEuropeCyborgsEmerg ing TechnologiesMachine LearningGerman Electron Synchrotron (DESY)
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