Large Hadron Collider Discovers Particles Dating Back To The FIRST FEW SECONDS Of The Universe's Birth

 


The Large Hadron Collider (LHC), which is the world's biggest atom smasher, may have just made one of the greatest scientific discoveries in modern memory.

 

If matter and antimatter existed in equivalent parts after the Big Bang, they would have annihilated each other into energy. The LHCb research at CERN's Large Hadron Collider is starting to shed light on this secret.

 

According to Nine News Australia, the LHC was capable of detecting a so-called X particle-a particle considered to have existed at the literal dawn of time. It quite simply was formed mere seconds after the Big Bang, which gave birth to the universe as we know it.

 

Researchers working on the LHC stated the discovery of the extremely unique particles after using machine learning technology. With the tech, they were able to comb through a ridiculous 13 billion heavy ion collisions that generate charged particles (basically a "particle soup").

 

In that "soup," they were able to detect around 100 individual X particles. They finally published their conclusions in the journal Physical Review Letters. With the discovery of these particles from the dawn of time, the researchers hope to shed more light on how the universe truly began.

 

However, discovering these particles was no cakewalk for the scientists, as they had to fully recreate the circumstances of a universe that was just being born, writes Live Science.

 

To do so, the resaerchers used the Large Hadron Collider to make positively charged lead atoms crash into each other at speeds close to the speed of light. The LHC is able to do this using really powerful electromagnetic fields to both boost and steer the particles, according to CERN(aka the European Council for Nuclear Research).

 

Whenever the charged lead atoms smashed into each other, they geberated a burst of plasma that resembled the "particle soup" of a young universe. From there, they used the machine learning algorithm to sift through a ridiculous amount of information.



Reference:

Tech Times, Daily Advent

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