Robotics & Machine Learning Daily News2024,Issue(Aug.12) :39-40.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.12) :39-40.

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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Abstract

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.”

Key words

Zeuthen/Germany/Europe/Cyborgs/Emerg ing Technologies/Machine Learning/German Electron Synchrotron (DESY)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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