Scientists at Northwestern University in the United States and Tsinghua University in Beijing have created a neural network that can de-interference images of space. The findings of the study were published in the journal. stores arXiv preprints.
It is noted that, as a rule, photographs taken using ground-based telescopes appear blurry due to moving air pockets in the atmosphere. This is because light from distant stars, planets, and galaxies passes through Earth’s atmosphere.
To solve this problem, experts changed the artificial intelligence algorithm used to sharpen photos and combined it with a deep learning program. It was noted that astrophysicists will use similar tools to remove the blur, but the new program is faster and produces more realistic and beautiful images. As noted in the repository, the neural network cleaned images with 38.6% less distortion compared to traditional blurring methods.
It was clarified that the program is open source and an online manual is available for use by all interested astronomers.
Former NASA scientists showed Images of a massive 14-Earth “solar hurricane” that may be one of the largest hurricanes ever recorded. The solar hurricane emerged near the Sun’s north pole on March 15 and continued to grow and change shape until it finally dissipated on March 18. This happened after a fiery hurricane released a cloud of plasma (ionized gas) into space. Astronomers said that the ejected plasma would not reach Earth, but would reach the Moon.