Artificial intelligence or AI algorithms trained on real astronomical observations speed up the pace of discoveries. However, astronomers at the University of California, Berkeley, discovered that AI can reveal unsuspected connections hidden in complex mathematics arising from general relativity — in particular, how that idea is applied to the discovery of new planets around other stars. [1]

Figure 1. AI Algorithm Unveils Formerly Unknown Arithmetic Underlying the Search for Exoplanets

Figure 1 shows the brightening over time is more complicated when the foreground object is a star with a planet. Furthermore, there are numerous planetary orbits that can also explain a given light curve, known as degeneracies. Humans simplified the math and missed the wider picture as a result. [2]

The AI algorithm, on the other hand, pointed to a mathematical way to unify the two major types of degeneracy in interpreting what telescopes detect during microlensing. It demonstrated that the two theories are really special cases of a broader theory that is likely still incomplete, according to the researchers. They have documented their findings in a paper in the journal Nature Astronomy. [3]

Joshua Bloom, a UC Berkeley professor of astronomy and chair of the department, had written in a blog post a few months ago that they discovered something new and essential about the equations that govern the general relativistic effect of light bending by two heavy bodies, thanks to a machine learning inference approach that they had previously developed. [3]

Bloom linked the invention by UC Berkeley graduate pupil Keming Zhang to linkages established by Google‘s AI crew, DeepMind, between two fields of arithmetic. These examples show that AI techniques can uncover elementary relationships that people miss.

Co-author Scott Gaudi, a professor of astronomy on the Ohio State University, stated that this was a milestone in AI and machine studying. Experts within the discipline who had been working with knowledge for many years had missed this degeneracy till Keming’s machine studying methodology recognized it. [4]

References:

1. https://newslogic.in/science/ai-algorithm-unveils-previously-unknown-arithmetic-underlying-the-search-for-exoplanets/
2. https://gadgets360.com/science/news/ai-algorithm-reveals-previously-unknown-arithmetic-underlying-search-exoplanets-3007469
3. https://www.onlinewiki.in/wiki/technology/ai-algorithm-unveils-previously-unknown-arithmetic-underlying-the-search-for-exoplanets/
4. https://aajkitaazanews.com/ai-algorithm-unveils-previously-unknown-arithmetic-underlying-the-search-for-exoplanets/

Cite this article:

Thanusri swetha J (2022), AI Algorithm Unveils Formerly Unknown Arithmetic Underlying the Search for Exoplanets, Anatechmaz, pp.106