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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 | Udaipur News | Udaipur Latest News | udaipur local news । Udaipur Updates
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Ashutosh Sharma , Monthly Notices Of The Royal Astronomical Society , Department Of Science Technology , European Space Agency , Indian Institute Of Astrophysics , Indian Astronomers , Machine Learning , Milky Way , Indian Institute , Gaia Early Data Release , Probabilistic Random , Gaussian Mixture Model , Probabilistic Random Forest , Ultra Violet Imaging Telescope , Monthly Notices , Royal Astronomical , Artificial Intelligence , Prof Ashutosh Sharma , அசுதோஷ் ஷர்மா , மாதாந்திர அறிவிப்புகள் ஆஃப் தி அரச வானியல் சமூகம் , துறை ஆஃப் அறிவியல் தொழில்நுட்பம் , இந்தியன் நிறுவனம் ஆஃப் வானியற்பியல் , இந்தியன் வானியலாளர்கள் , இயந்திரம் கற்றல் , பால் வழி , இந்தியன் நிறுவனம் ,

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 th ....

Ashutosh Sharma , Monthly Notices Of The Royal Astronomical Society , Department Of Science Technology , European Space Agency , Indian Institute Of Astrophysics , Indian Astronomers , Machine Learning , Milky Way , Indian Institute , Gaia Early Data Release , Probabilistic Random , Gaussian Mixture Model , Probabilistic Random Forest , Ultra Violet Imaging Telescope , Monthly Notices , Royal Astronomical , Artificial Intelligence , Prof Ashutosh Sharma , அசுதோஷ் ஷர்மா , மாதாந்திர அறிவிப்புகள் ஆஃப் தி அரச வானியல் சமூகம் , துறை ஆஃப் அறிவியல் தொழில்நுட்பம் , இந்தியன் நிறுவனம் ஆஃப் வானியற்பியல் , இந்தியன் வானியலாளர்கள் , இயந்திரம் கற்றல் , பால் வழி , இந்தியன் நிறுவனம் ,

Machine learning helps pick out stars in a crowd

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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 cluste ....

New Delhi , Ashutosh Sharma , Monthly Notices Of The Royal Astronomical Society , Department Of Science Technology , European Space Agency , Indian Institute Of Astrophysics , Indian Astronomers , Machine Learning , Milky Way , Indian Institute , Gaia Early Data Release , Probabilistic Random , Gaussian Mixture Model , Probabilistic Random Forest , Ultra Violet Imaging Telescope , Monthly Notices , Royal Astronomical , Artificial Intelligence , Prof Ashutosh Sharma , புதியது டெல்ஹி , அசுதோஷ் ஷர்மா , மாதாந்திர அறிவிப்புகள் ஆஃப் தி அரச வானியல் சமூகம் , துறை ஆஃப் அறிவியல் தொழில்நுட்பம் , இந்தியன் நிறுவனம் ஆஃப் வானியற்பியல் , இந்தியன் வானியலாளர்கள் , இயந்திரம் கற்றல் ,

Indian astronomers spot a flare from very rare black hole | India News

TELLTALE STARE: The luminosity of BL Lac observed on January 16, 2021 is about 250% of that seen on Oct 27, 2020, measured in terms of solar luminosity
BENGALURU: Indian astronomers have reported one of the strongest flares from a feeding supermassive black hole or blazar called BL Lacertae, some 10 million light-years away. And, the analysis of the flare from this blazar one of the oldest astronomical objects can help trace the mass of the black hole and the source of this emission.
This, the team believes can provide a lead to probe into mysteries and trace events at different stages of evolution of the Universe. ....

Alok Chandra Gupta , Aryabhatta Research Institute Of Observational Sciences , Aryabhatta Research Institute , Observational Sciences , Sampurnanand Telescope , Devasthal Fast Optical Telescopes , Radio Waves , Visible Light , Gamma Rays , Whole Earth Blazar Telescope , India News , India News Today , Today News , Google News , Breaking News , Radio Waves Microwaves , Indian Astronomers , Black Hole , Bl Lacertae , அலோக் சந்திரா குப்தா , ஆர்யபட்டா ஆராய்ச்சி நிறுவனம் ஆஃப் அவதானிப்பு அறிவியல் , ஆர்யபட்டா ஆராய்ச்சி நிறுவனம் , அவதானிப்பு அறிவியல் , சம்பூர்னனண்த் தொலைநோக்கி , வானொலி அலைகள் , தெரியும் ஒளி ,