The sun affects every aspect of the earth and by default every aspect of human life. Since the earth continues to experience drastic changes in its climate, more research has arisen to explain the role of the sun in all of this.
A doctoral student of the California State University in Northridge and a researcher at the University of Colorado Boulder work to develop a model to explain how changes on the sun surface have an effect on the earth's atmosphere, the weather and the magnetic field. The turn? They use artificial intelligence to analyze the surface patterns.
It began with the astrophysicist of the University of Colorado Boulder, Shah Bahauddin, who was financed by the NASA Solar -Realization Magic -Speller -Science Team. Bahauddin said Sist asks for proposals from universities that include the analysis and generation of predictions for sunlight.
“The idea is to develop a physical model that can help us connect what happens in the sun, or mainly the surface of the sun and how much light it will create based on it,” said Bahauddin.
He added that it was important to make predictions about the sun's rays, as this directly influences both our room weather and climate change.
Ishay Haykeen, doctoral student of CSUN IT, took on the role of the development of the AI algorithm, which establishes the connections between the pictures and the data of the spacecraft. He said that he wanted to be connected to Bahauddin
“The next step in which we are already working that is almost finished is the calculation of the entire solar radiation. And we calculate this according to the number of pixels that are solar spots and solar faculae,” said Haykeen.
Bahauddin wanted to know the physics behind the sunlight to make the predictions and support the project from the data from the past 50 years.
“The idea is that they look at different features of the sun,” said Bahauddin. “So, the sun has sun spots and bright structures that are referred to as a facelae. From there we calculate, if I have sun spots, have a reduction in sunlight. If there are bright dots, sunlight will give an increase in sunlight.”
However, the analysis of the surface of the sun was carried out manually by looking at the images of the sun that were taken up by a telescope, finding faculae and solar spots and registering data. Instead, he proposed to use data from an instrument on the international space station with the name TSIS-1 that measures the total amount of sunlight that falls on the ground and a deep learning algorithm to connect the patterns between the images and the data of the radiation strength.
Bahauddin and Haykeen have been working on this project for seven months and will present their data to the Sun Climate Symposium 2025, which will be held on September 15th to 19th in Fairbanks, Alaska. There, more than 200 scientists from all over the world will be called up, share their own models, work together and criticize the work of the other.
Bahauddin and Haykeen have achieved a lot in their first project year and have received funds from NASA for three years.
The calculation of the entire sunlight is only the first part of your entire project. The second part of your plan is the analysis of the spectral sunlight, in which the sunlight is broken down into individual spectra and calculated its energy.
“Each of the colors, each of the parts of the spectrum has different effects. For example, the infrared heats the earth's surface, so that basically causes the greenhouse effect,” explained Bahauddin. “And if you look at the UV light, it basically affects the ozone ball that protects us from cancer from sunlight. If you look at the extreme ultraviolet light, it affects the thermal or upper part of the atmosphere in which all satellites are.
Bahauddin and Ishay said that they will do this by watching the decades of images and data that CSUun collected.
“CSUN has 35 years of data from San Fernando Observatory, which is very valuable. Bahauddin said.” I don't think nobody else in the world has something like that. “