Researchers from the Department of Energy's SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks — a form of artificial intelligence — can accurately analyze the complex distortions in spacetime
known as gravitational lenses 10 million times faster than traditional methods.
Now, researchers have depicted a monstrous galaxy near the edge of the charted Universe with unprecedented detail using the Atacama Large Millimeter / submillimeter Array (ALMA) with the assistance of a «natural telescope»
known as a gravitational lens.
Not exact matches
However, through the phenomenon
known as «
gravitational lensing,» a massive, foreground cluster of galaxies acts
as a natural «zoom
lens» in space by magnifying and stretching images of far more distant background galaxies.
Occasionally, when the stars are aligned just right, this warping of the fabric of the universe results in a phenomenon
known as gravitational lensing, wherein the strong
gravitational field of a foreground object acts
as a
lens that «bends» light from an object in the background and allows scientists to catch a glimpse of what might otherwise have remained invisible.
Click to Enlarge (JPEG / 138.4 KB) This schematic image represents how light from a distant galaxy is distorted by the
gravitational effects of a nearer foreground galaxy, which acts like a
lens and makes the distant source appear distorted, but brighter, forming characteristic rings of light,
known as Einstein rings.
CLICK ON IMAGE: This schematic represents how light from a distant galaxy is distorted by the
gravitational effects of a nearer foreground galaxy, which acts like a
lens and makes the distant source appear distorted, but brighter, forming characteristic rings of light,
known as Einstein rings.