LHC discovers new exotic particle named Xi-c-plus at CERN on March 18th.
The Large Hadron Collider has identified the world's most powerful accelerator as having found its eighth hundred and tenth discovered subatomic entity, a heavy proton-like structure dubbed "Xi-cc-plus" by researchers led Professor He Jibo of China University of Science & Technology (CUST). This breakthrough marks another significant milestone for CERN physicists who are now hopeful that this new particle will aid in understanding the fundamental nature matter.
Key Points
-
1The Large Hadron Collider at Europe's CERN has discovered a new particle named 'Xi-cc-plus'.
-
2This discovery marks the 80th distinct particle identified by this world-class accelerator.
-
3Scientists, led in part by Professor He Jibo and his team from China University of Science & Technology (CUST), announced finding an exotic proton-like heavy baryon containing two charm quarks.
Developments
Perspectives
The Large Hadron Collider has discovered a new particle named 'Xi-bb-plus', which is the world's most powerful particle smasher, Europe's CERN physics laboratory announced on March 17.
— [Mar 20:34] Scientists discover exotic proton-like particles (Cgtn)"Xicc+': Neues Teilchen am CERN entdeckt
— (Rss.orf.at)On March 17, CERN's Large Hadron Collider discovered a new particle named 'Xi-cc-plus', which is composed of two charm quark and one down quark. This discovery marks only the second observation of such an exotic baryon containing heavy quarks since upgrades to its detector in late 2023 were completed, offering scientists valuable data for testing quantum chromodynamics models.
Scientists at CERN's Large Hadron Collider discovered a new heavy baryon particle composed of two charm quarks and one down quark that weighs four times more than an ordinary proton. This finding represents the first observation of such a double-heavy-quark state following 2023 detector upgrades, with its expected lifetime being six times shorter than previously observed similar particles from 2017 research.