Future applications of big data(5)

 Bilal Hussain Malik

18/4/25

                                                    Future applications of big data

                                                Astronomy and Astrophysics

Astronomy has reached the age of big data discovery. Modern telescopes such as the James Webb Space Telescope, the Vera C. Rubin Observatory, and the Square Kilometre Array (SKA) are generating terabytes to petabytes of data each day. The data consist of images, spectra, and radio signals of billions of objects in the universe. Analysis of such enormous data sets is impossible without advanced big data machinery and machine learning programs. Employing this machinery and algorithms, astronomers discover exoplanets, track supernovae, and investigate the architecture of universes like dark matter and black holes. These methods include identifying patterns and outliers in noisy data to separate the unusual or previously unseen events contained within them. Sky surveys like the Sloan Digital Sky Survey (SDSS) have already surveyed millions of stars and galaxies, and the basis for hundreds of astrophysical studies. Big data also supports citizen science, whereby volunteers help to process astronomical data on AI platforms. Finally, real-time analysis enables faster response to transient events like gamma-ray bursts or gravitational waves. The convergence of data science and astronomy not only fosters our understanding of the cosmos, but it also inspires innovations in algorithm development, computing, and storage, which are beneficial to other sciences as well

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