Unveiling Gravity’s Mysteries: Breakthrough in Alternate Gravitational Theory

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A remarkable breakthrough in the field of astrophysics has cast doubt on the accuracy of Newton’s and Einstein’s theories of gravity. A South Korean scientist has presented compelling evidence suggesting that these renowned gravitational theories might not be accurate. By studying binary star systems, he demonstrated that stars can move up to 40% faster than predicted by Newton’s and Einstein’s theories under weak accelerations. This “extreme” behavior of gravity could render the concepts of dark matter and dark energy unnecessary, potentially leading to a paradigm shift in astrophysics and physics as a whole.

Kyu-Hyun Chae, an astrophysicist from Sejong University in Seoul, analyzed over 26,500 “wide” binary star systems within 650 light-years of Earth. These systems consist of two stars orbiting a common center of mass over a considerable distance, ranging from a few hundred to several thousand astronomical units. Chae also considered the possibility of “embedded” systems, where a hidden tight binary star orbits a third, widely separated star (calculations were adjusted for this scenario).

The data for these calculations were sourced from the astrometric European satellite “Gaia,” which provides precise distances, velocities, and motion vectors of stars in our galaxy, enabling the creation of a dynamic three-dimensional map of the nearby universe. Gaia’s data is widely trusted, and Chae’s calculations are so robust that they challenge the foundation of gravitational theories put forth by Newton (for slow and relatively small masses) and Einstein (for speeds close to the speed of light and large masses).

Chae’s calculations indicate that for accelerations below 1 nm/s², the observed accelerations at which binary star pairs rotate around their center of mass deviate from predictions based on Newton’s and Einstein’s equations. This conclusion was drawn from analyzing 20,000 binary star systems. The reliability of the data is so high that it reaches a deviation of 5 sigma, a benchmark required for a scientific breakthrough.

Image Source: Kyu-Hyun Chae

For accelerations below 0.1 nm/s², the observed accelerations in wide binary star systems exceed the “classical” values by 30-40%. This phenomenon resembles the discrepancy observed in galactic rotation curves. To explain the unexplained acceleration of stars as they move away from a galaxy’s center, the concept of dark matter was introduced. Dark matter, though invisible, was believed to engage in gravitational interactions with galactic objects, synchronizing their rotation. However, this mechanism is unsuitable for relatively small binary star systems, potentially diminishing the necessity for dark matter to explain galactic-scale acceleration. At the very least, these findings suggest that the anomalies revealed by Chae’s calculations could partially account for the discrepancies.

Interestingly, an alternative to Newton’s and Einstein’s gravitational laws in the form of the Modified Newtonian Dynamics (MOND) theory was proposed over 40 years ago by Israeli astrophysicist Mordehai Milgrom. This theory initially faced skepticism but was supported by another scientist, Jacob Bekenstein, who introduced a numerical method called the AQUAL theory to validate MOND. According to Bekenstein’s calculations, at low accelerations, the observed acceleration would deviate from Newton’s/Einstein’s predictions by a factor of 1.4. This is consistent with Chae’s independent calculations on wide binary star systems within the Milky Way.

The results of this study have been published in The Astrophysical Journal. Peer reviewers have highly praised the work and predicted a new revolution in astrophysics. Our understanding of the universe has taken an unexpected turn, challenging the perspectives of Newton and later Einstein, two unassailable figures in the realm of universal gravity on both small and cosmic scales.

Author Profile

Martin Harris
I'm Martin Harris, a tech writer with extensive experience, contributing to global publications. Trained in Computer Science, I merged my technical know-how with writing, becoming a technology journalist. I've covered diverse topics like AI and consumer electronics, contributing to top tech platforms. I participate in tech events for knowledge updating. Besides writing, I enjoy reading, photography, and aim to clarify technology's complexities to readers.

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