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Imagine a world where everything is exactly the same as this one but no one knows of its existence, even though it could be staring you right in the face. These are called mirror universes — a parallel world in a different time space. While this prospect may seem a bit fetched to many, Leah Broussard believes that these parallel universes are actually very real. In fact, she, along with her colleagues at Oak Ridge National Laboratory in Tennessee, is on the hunt for a mirror universe and plans on opening portals to them.

Broussard is attempting to open a portal to a parallel universe by, what she calls “oscillation” which would eventually lead her to mirror matter. To conduct these experiments during the upcoming summer, Broussard will send a beam of subatomic particles down a 50-foot tunnel, past a powerful magnet, and into an impenetrable wall.

So what’s the point of that? Well, if the setup is just right, some of those particles will transform into mirror-image versions of themselves, allowing them to tunnel right through the wall. If it works, this would be the first proof of a mirror universe. The whole experiment will only take around a day but analyzing the data will take many weeks afterward. Either way, it won’t be long before the results are published.

About 80% of all the matter in the cosmos is of a form completely unknown to current physics. We call it dark matter, because as best we can tell it’s…dark. Experiments around the world are attempting to capture a stray dark matter particle in hopes of understanding it, but so far they have turned up empty.

Recently, a team of theorists has proposed a new way to hunt for dark matter using weird “particles” called magnons, a name I did not just make up. These tiny ripples could lure even a fleeting, lightweight dark matter particle out of hiding, those theorists say. [The 11 Biggest Unanswered Questions About Dark Matter]

We know all sorts of things about dark matter, with the notable exception of what it is.

Galaxy clusters are some of the most massive structures in the cosmos, but despite being millions of lightyears across, they can still be hard to spot. Researchers at Lancaster University have turned to artificial intelligence for assistance, developing “Deep-CEE” (Deep Learning for Galaxy Cluster Extraction and Evaluation), a novel deep learning technique to speed up the process of finding them. Matthew Chan, a Ph.D. student at Lancaster University, is presenting this work at the Royal Astronomical Society’s National Astronomy meeting on 4 July at 3:45pm in the Machine Learning in Astrophysics session.

Most galaxies in the universe live in low-density environments known as “the field”, or in small groups, like the one that contains our Milky Way and Andromeda. Galaxy clusters are rarer, but they represent the most extreme environments that galaxies can live in and studying them can help us better understand and dark energy.

During 1950s the pioneer of galaxy -finding, astronomer George Abell, spent many years searching for galaxy clusters by eye, using a magnifying lens and photographic plates to locate them. Abell manually analysed around 2,000 photographic plates, looking for visual signatures the of galaxy clusters, and detailing the astronomical coordinates of the dense regions of . His work resulted in the ‘Abell catalogue’ of galaxy clusters found in the .

Whether it was the Big Bang, Midas or God himself, we don’t really need to unlock the mystery of the origins of gold when we’ve already identified an asteroid worth $700 quintillion in precious heavy metals.

If anything launches this metals mining space race, it will be this asteroid—Psyche 16, taking up residence between Mars and Jupiter and carrying around enough heavy metals to net every single person on the planet close to a trillion dollars.

The massive quantities of gold, iron and nickel contained in this asteroid are mind-blowing. The discovery has been made. Now, it’s a question of proving it up.