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Machine learning helps pick out stars in a crowd

Share New Delhi:  Indian Astronomers have developed a new method based on Machine Learning that can identify cluster stars– assembly of stars physically related through common origin, with much greater certainty. The method can be used on clusters of all ages, distances, and densities. The method has been used to identify hundreds of additional stars for six different clusters up to 18000 light-years away and uncover peculiar stars. Studying stars and how they evolve is the cornerstone of astronomy. But understanding them is difficult since they are observed at different ages. A star cluster is, therefore, a great place to study stars. All stars in a star cluster have approximately the same age and chemistry, so any differences seen can be attributed to the peculiarities in individual stars with certainty. As the clusters are part of the Milky Way, there are many stars between us and the cluster, so it isn’t easy to identify and select the stars of a particular cluster.

Gigantic, Near-Perfectly Circular Radio Objects Found in Distant Universe Baffle Scientists

https://sputniknews.com/science/202105161082908660-gigantic-near-perfectly-circular-radio-objects-found-in-distant-universe-baffle-scientists-/ The Australian Square Kilometre Array Pathfinder (ASKAP), a powerful telescope developed and operated by the country’s science agency CSIRO, became fully operational in February 2019 and has been conducting pilot surveys of the sky to map the structure and evolution of the Universe. Recent research may hold the clue to an enigma that has been puzzling astronomers over the past few years. A mysterious handful of huge, almost perfectly circular radio objects, located in a distant universe, are yet to be explained by science. Now, a new one has been spotted and added to the list by a team of scientists, who posted their findings on 27 April to the preprint database arXiv. The research has since been accepted for publication in the Monthly Notices of the Royal Astronomical Society. This discovery may be the first step towards finally findin

Unique supernova explosion stretches what s physically possible , scientists say

Don t show me this message again✕ A strange yellow star which exploded into a supernova in a never-before-seen situation “stretches what’s physically possible”, scientists have said. A team at Nasa was monitoring the enigmatic ball of gas for 30 months before it exploded into a supernova. Burning 35 million light years from the Earth, what should have been routine behaviour for this star turned into something unexpected: unlike others, this did not have a layer of hydrogen around it before it exploded, which scientists did not realise was achievable. “We haven’t seen this scenario before,” said Northwestern’s Charles Kilpatrick, who led the study. “If a star explodes without hydrogen, it should be extremely blue really, really hot.

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