Scientists from the United States, using an AI-based model, were able to identify the connection between our galaxy and the Andromeda galaxy. This will allow you to find out the details of their future collision.
A new space map has revealed hidden structures connecting galaxies. This will help scientists simulate a future collision between the Milky Way and Andromeda, our galaxy’s closest neighbor.
A machine-learning map could provide more insight into the effects of dark matter on the evolution of our universe, Penn State scientists said in a statement.
As for the collision of the Milky Way and Andromeda, which is due to occur in 4.5 billion years, the map shows the threads of dark matter that connect the two galaxies and could affect this merger, the team said.
The researchers built the map using machine learning, a type of artificial intelligence in which computers learn from a test dataset to make classification decisions. Scientists trained the model using a large set of galaxy simulations – IllustrisTNG. The training set included galaxies similar to ours to understand which galactic properties best predict the distribution of dark matter.
“Oddly enough, the distribution of dark matter is easier to study at a great distance [from Earth], because it reflects a very distant past, which is much less complex,” the scientists noted. “Over time, as the large-scale structure grew, the complexity of the universe increased, so it became more difficult to measure dark matter locally.”
When the model was ready for self-classification of information, the researchers showed it real data from the Cosmicflows-3 catalog of galaxies, which includes the motion and distribution of 17,000 galaxies within 200 megaparsecs of the Milky Way. One parsec equals approximately 3.26 light-years.
The map also showed several new strands that the team plans to explore further, including those that connect our galaxy to Andromeda. Scientists note that their map will become even more accurate after NASA’s James Webb Space Telescope transmits data that will allow researchers to see even fainter and more distant galaxies.