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The dream machine

    An accelerator known as a muon collider could revolutionize particle physics—if it can be built. The December 2023 P5 report calls for R&D on a muon collider, stating, “This is our muon shot.” A muon collider could fit on the campus of Fermilab, enabling the U.S. to reclaim the lead in the continuing competition for the highest energy collider.

    Crews stay busy with construction at SURF

      As excavation of the underground facilities for DUNE nears completion, crews are now working on laying concrete floors and spraying shotcrete on the walls of the caverns. The next priority is to prepare the south cavern for cryostat erection by installing sprinklers, fire alarms, an elevator, and overhead cranes

      First observation of photons-to-taus in proton–proton collisions by CMS

        The CMS collaboration announced the observation of two photons creating two tau leptons in proton–proton collisions. This is the first time this process has been seen in proton–proton collisions using the precise capabilities of the CMS detector. It is also the most precise measurement of the tau’s anomalous magnetic moment and offers a new way to constrain the existence of new physics.

        UTA preps giant particle detectors for neutrino project

          Physicists at the University of Texas at Arlington are building portions of the first two detectors for DUNE that will be installed underground in South Dakota. The UTA team will construct 100 modules for the first detector and all 200 of the modules for the second detector.

          Rensselaer researcher receives DOE grant to develop models that track the formation of black holes

            The Tachyon Project of Rensselaer Polytechnic Institute has been awarded a five-year grant from the U.S. DOE HEP to model, simulate and validate the transport, transmission and analysis of particle physics data using extreme-scale computing systems, AI and ML techniques. Tachyon will utilize data and information from Fermilab to model the entire distributed infrastructure required to transmit and analyze data from DUNE to the computing facilities at the Argonne in near real time.

            More precise understanding of dark energy achieved using AI

              A research team as part of the the Dark Energy Survey collaboration used artificial intelligence to research dark energy more precisely from a map of dark and visible matter in the Universe covering the last seven billion years. The new AI technique allowed researchers to use much more information from the maps than would be possible with the previous method.