Science, Space and Technology News 2024
Scientists have applied advanced machine learning techniques to significantly enhance the precision of distance measurements for gamma-ray bursts . By combining data from NASA’s Swift Observatory with machine learning models, they have enabled more accurate estimations of GRB distances, leading to improved understanding of cosmic phenomena and paving the way for future astronomical discoveries. Credit: SciTechDaily.
In just a few seconds, GRBs release the same amount of energy our sun releases in its entire lifetime. Because they are so bright, GRBs can be observed at multiple distances – including at the edge of the visible universe – and aid astronomers in their quest to chase the oldest and most distant stars.
Dainotti says the novelty of this approach comes from using several machine-learning methods together to improve their collective predictive power. This method, called Superlearner, assigns each algorithm a weight whose values range from 0 to 1, with each weight corresponding to the predictive power of that singular method.
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