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Anomalously large abundance of lithium in low mass red giants traced to He-flashing phase of 2 million years

New Delhi: The discrepancy between the abundance of lithium as inferred from observations of stars and the theoretically predicted amount has intrigued astronomers for a long time.Scientists from the Indian Institute of astrophysics have pinned down

Should India Sign the Artemis Accords? - The Wire Science

India plays key role in world s largest telescope

India plays key role in world’s largest telescope © Provided by The Times of India NEW DELHI: India’s contribution to the world’s largest telescope just got bigger. Apart from producing edge sensors, mirrors, actuators and electronics for the Thirty Metre Telescope (TMT) which is in development in Hawaii, India will also develop a high-resolution optical spectrometer (HROS) for it. The spectrometer a device that collects light waves and uses them to determine what material created the light is expected to fast forward the telescope’s glimpse into formation of the first galaxies as well as Milky Way’s neighbour, Andromeda, while also mapping the elements formed during Big Bang such as hydrogen and helium. The HROS will cost Rs 435 crore and the money will come from the TMT fund which includes a pooled-in amount of $1.2 billion by US, India, Japan, Canada and China. It will be developed by the India TMT center set up in the campus of Indian Institute of Astrophysics

Machine learning helps pick out stars in a crowd | Udaipur News | Udaipur Latest News | udaipur local news । Udaipur Updates

Machine learning helps pick out stars in a crowd 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 o

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.

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