Higg particles (BOSON)

Professor to discuss about Higg particle

The retired professor who gave his name to the elusive “God particle” that scientists believe they have found is to discuss the discovery.Teams at the Large Hadron Collider (LHC), the £2.6 billion “Big Bang” atom-smasher near Geneva, in Switzerland, said on Tuesday that they had found a new particle “consistent” with the Higgs boson.

The discovery was described as “momentous” and “a milestone”. But the results are preliminary and more work is needed before scientists can be sure about what they have captured.
Professor Peter Higgs, the retired British physicist from Edinburgh University, will give his reaction to the latest results at a press conference at the Scottish university.
The 83-year-old hit on the concept of the Higgs mechanism in 1964 while walking in the Cairngorms and could now be eligible for a Nobel Prize. Known for his unassuming nature and shunning the limelight, he wiped away a tear as the discovery was first announced in Geneva.
“I am astounded at the amazing speed with which these results have emerged,” he said. “I never expected this to happen in my lifetime and shall be asking my family to put some champagne in the fridge.”
The Higgs boson gives matter mass and holds the physical fabric of the universe together. Observations so far show the discovery looks and acts like the long-sought particle that has eluded them for 50 years.
Finding the Higgs is vital to the Standard Model, the theory that describes the web of particles, forces and interactions which make up the universe.
Without the Higgs boson to give matter mass and weight, there could be no Standard Model universe. If it was proven not to exist, scientists would have to rip up the theory and go back to the drawing board.
On Tuesday they confirmed that two of the LHC’s giant detectors, CMS and Atlas, had delivered results achieving the definitive “five sigma” level of proof. A sigma is a measure of how likely it is that a finding is down to chance. At five sigma, the likelihood of a statistical fluke is one in a million.
Reference : Google.com
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