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Tau Lepton Data Analysis Lab
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A lab that rapidly analyzes accelerator experiment data to search for new particles and new phenomena.
AboutAbout the lab
Searching for new particles and phenomena in vast amounts of experimental data.
The Tau Lepton Data Analysis Lab is an analysis lab within the Phenomenon Analysis Division of the Kobayashi-Maskawa Institute for the Origin of Particles and the Universe at Nagoya University.
The lab rapidly analyzes large volumes of experimental data obtained from accelerator experiments at CERN and KEK.
It aims to discover new particles and new phenomena beyond the Standard Model.
The institute has its own computer system for rapidly analyzing experimental data.
Key terms
- Accelerator experiment
- An experiment in which particles are accelerated and collided, and the phenomena that occur are studied
- Standard Model
- The current foundational theory of particle physics, which explains elementary particles and the forces acting between them
ResearchResearch themes
The Tau Lepton Data Analysis Lab rapidly analyzes large volumes of experimental data obtained from accelerator experiments at CERN and KEK. It aims to discover new particles and new phenomena beyond the Standard Model.
View More ↗MembersFaculty
- ProfessorToru Iijima
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “CERN LHC CMS 11” SimonWaldherr / CC BY-SA 4.0 (cropped)
- Related lab (実験観測機器開発室): “U.S. Department of Energy - Science - )” U.S. Department of Energy from United States / Public domain (cropped)
- Related lab (ヒッグス物理部): “KEK Belle II Detector (2)” Kestrel / CC BY-SA 4.0 (cropped)
- Related lab (レプトン物理部): “U.S. Department of Energy - Science - )” U.S. Department of Energy from United States / Public domain (cropped)
- Related lab (弦理論・数理構造部): “CERN LHC Tunnel1” Julian Herzog (Website) / CC BY-SA 3.0 (cropped)
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