Unlocking the Secrets of the Cosmos: How Machine Learning Techniques are Helping to Process Thousands of Cosmic Events
In a recent study published in Nature, researchers have developed a new machine learning technique to analyze thousands of cosmic rays. This technique will enable scientists to better understand the origins of cosmic rays and their interactions with Earth’s atmosphere. The researchers used a convolutional neural network (CNN) to classify and analyze more than 10,000 cosmic rays detected by a telescope in Chile. They were able to accurately classify the origin of the rays, giving scientists insight into the types of cosmic rays they are dealing with and how they interact with Earth’s atmosphere. This new technique will help advance our understanding of cosmic rays and their origins.
source: Phys.org