A new space discovery may change scientists' view of the evolution of the universe

Astronomers have discovered a huge formation in deep space that they called the "giant arc of galaxies" because of its unique and exciting shape.

The published images of the new discovery indicate a group of galaxies centered next to each other to form what appears to be an arc with a small curvature.

The magazine "Science Alert" that this discovery indicates a deep flaw in our understanding of the nature of the large universe, and may have serious effects on our understanding and perception of scientists of the evolution of the universe.

The arc is formed by a group of nearly identical sized galaxies at a distance of 9.2 billion light-years, the width of the arc is about 3.3 billion light-years, and it is one of the largest structures ever recognized in space.

Scientists called the massive structure the "giant arc", as it joins a very large group of giant structures scattered in the universe.

"It is becoming difficult to ignore the growing number of megastructures beyond what is considered theoretically feasible," said astronomer Alexia Lopez of the University of Central Lancashire in Britain.

And the world continued, explaining the flaw posed by this discovery: “According to cosmologists, the current theoretical limit of the universe is calculated at about 1.2 billion light-years, which makes the giant arc almost three times larger.”

Scientists have established a standard model of cosmology called the 'cosmological principle', which states that on very large (large enough) scales the universe is homogeneous or 'smooth' in all directions.

And each part of the universe should look very slightly more or less like any other part of the universe, with no major inconsistencies or bumps.

The large structures, which are more than about 1.2 billion light-years in size, can be considered just a bump.

One or two of these bumps could be considered a coincidence, but more and more of these structures continue to emerge from recent data.