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Computer generated cut-away view of ALICE showing the 18 detectors of the experiment. ALICE is designed to study high-energy collisions between lead nuclei.These collisions mimic the extreme temperature and energy density that would have been found in the fractions of a second after the Big Bang by forming a quark–gluon plasma, a state of matter in which quarks and gluons are unbound.
The 750 GeV diphoton excess in particle physics was an anomaly in data collected at the Large Hadron Collider (LHC) in 2015, which could have been an indication of a new particle or resonance. [8] [9] The anomaly was absent in data collected in 2016, suggesting that the diphoton excess was a statistical fluctuation.
The Large Hadron Collider (LHC) is the world's largest and highest-energy particle accelerator. [ 1 ] [ 2 ] It was built by the European Organization for Nuclear Research (CERN) between 1998 and 2008 in collaboration with over 10,000 scientists and hundreds of universities and laboratories across more than 100 countries. [ 3 ]
Experiments at earlier colliders, such as the Tevatron and Large Electron–Positron Collider, were also designed for general-purpose detection. However, the beam energy and extremely high rate of collisions require ATLAS to be significantly larger and more complex than previous experiments, presenting unique challenges of the Large Hadron ...
The TOTEM experiment (TOTal Elastic and diffractive cross section Measurement) is one of the nine detector experiments at CERN's Large Hadron Collider. The other eight are: ATLAS, ALICE, CMS, LHCb, LHCf, MoEDAL, FASER and SND@LHC. It shares an interaction point with CMS.
This is a list of experiments at CERN's Large Hadron Collider (LHC). The LHC is the most energetic particle collider in the world, and is used to test the accuracy of the Standard Model, and to look for physics beyond the Standard Model such as supersymmetry, extra dimensions, and others.
The graph attention network (GAT) was introduced by Petar Veličković et al. in 2018. [11] Graph attention network is a combination of a GNN and an attention layer. The implementation of attention layer in graphical neural networks helps provide attention or focus to the important information from the data instead of focusing on the whole data.
FASER (ForwArd Search ExpeRiment) is one of the nine particle physics experiments in 2022 at the Large Hadron Collider at CERN.It is designed to both search for new light and weakly coupled elementary particles, and to detect and study the interactions of high-energy collider neutrinos. [1]