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27 million galaxy morphologies quantified and cataloged with the help of machine learning

Share Research from Penn’s Department of Physics and Astronomy has produced the largest catalog of galaxy morphology classification to date. Led by former postdocs Jesús Vega-Ferrero and Helena Domínguez Sánchez, who worked with professor Mariangela Bernardi, this catalog of 27 million galaxy morphologies provides key insights into the evolution of the universe. The study was published in  The researchers used data from the Dark Energy Survey (DES), an international research program whose goal is to image one-eighth of the sky to better understand dark energy’s role in the accelerating expansion of the universe. A byproduct of this survey is that the DES data contains many more images of distant galaxies than other surveys to date. “The DES images show us what galaxies looked like more than 6 billion years ago,” says Bernardi.

Astronomers spot double quasars in merging galaxies - INDIA New England News

INDIA New England News Washington– Peering back 10 billion years into the universe’s past, astronomers have found a pair of quasars that are so close to each other they look like a single object in ground-based telescopic photos, but not in Hubble Space Telescope’s crisp view. The researchers believe the quasars are very close to each other because they reside in the cores of two merging galaxies. The team went on to discover yet another quasar pair in another colliding galaxy duo. A quasar is a brilliant beacon of intense light from the centre of a distant galaxy that can outshine the entire galaxy.

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