Particle physicists have finally witnessed the decay of a Higgs boson particle into two bottom quarks.

Models predict Higgs boson particles decay into two bottom quarks 60 percent of the time. Bottom quarks, or b quarks, are the second heaviest of the six types of quarks.

Scientists have struggled to directly observe the predicted decay. Several types of proton-proton collisions can produce bottom quarks, making it difficult to link quarks produced by particle collisions with decaying Higgs boson particles.

Pairs of photons produced by decaying Higgs boson particles is much easier spot among the "noise" produced by high-energy particle collisions.

During experiments, scientists regularly witnessed the Higgs boson decaying into photons, tau-leptons, and W and Z bosons, but b quarks proved hard to see.

To isolate the link between decaying Higgs boson particles and pairs of bottom quarks, scientists combined the observations of the two particle detectors at CERN's Large Hadron Collider, ATLAS and CMS.

Physicists applied complex statistical analysis to the combined dataset. According to CERN, the analysis methods revealed "the decay of the Higgs boson to a pair of bottom quarks with a significance that exceeds 5 standard deviations."

"This observation is a milestone in the exploration of the Higgs boson," Karl Jakobs, spokesperson of the ATLAS collaboration, said in a news release. "It shows that the ATLAS and CMS experiments have achieved deep understanding of their data and a control of backgrounds that surpasses expectations."

Scientists working on the ATLAS experiment have now witnessed Higgs bosons decay into all of the heavy quarks and leptons predicted by particle physics models, including the Standard Model.

"Since the first single-experiment observation of the Higgs boson decay to tau-leptons one year ago, CMS, along with our colleagues in ATLAS, has observed the coupling of the Higgs boson to the heaviest fermions: the tau, the top quark, and now the bottom quark," said Joel Butler, spokesperson of the CMS collaboration. "The superb LHC performance and modern machine-learning techniques allowed us to achieve this result earlier than expected."

Researchers detailed their breakthrough in a scientific paper, published online this week. Scientists previously presented their findings at the 2018 International Conference on High Energy Physics in Seoul, South Korea.

Scientists hope their latest feat will pave the way for the detection of even more elusive decays, as well as the exploration of physics beyond the Standard Model.

"The analysis methods have now been shown to reach the precision required for exploration of the full physics landscape, including hopefully new physics that so far hides so subtly," said Eckhard Elsen, director of research and computing at CERN.

Related Links
Understanding Time and Space

Tweet

Thanks for being here; We need your help. The Space Media Network continues to grow but revenues have never been harder to maintain. With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords. Our news coverage takes time and effort to publish 365 days a year. If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.
SpaceMediaNetwork Contributor $5 Billed Once credit card or paypal		SpaceMediaNetwork Monthly Supporter $5 Billed Monthly paypal only

Artificial intelligence helps scientists track particles
Washington (UPI) Aug 23, 2018
Researchers at the University of North Carolina have deployed machine learning to boost particle-tracking software. The ability to precisely track individual particles is essential to the study of human disease and potential remedies. Improved particle-tracking software can help scientists more accurately characterize molecular interactions between viruses, cells and drug-carrying nanoparticles. Advancements in imaging technologies have helped scientists capture high-definition video of ... read more