The detector for the international Deep Underground Neutrino Experiment will collect massive amounts of data from star-born and terrestrial neutrinos. A single supernova burst could provide as much as 100 terabytes of data. A worldwide network of computers will provide the infrastructure and bandwidth to help store and analyze it. Using artificial intelligence and machine learning, scientists are writing software to mine the data – to better understand supernovae and the evolution of our universe.
From INFN, April 9, 2020: L’industria di solito non utilizza l’elettronica che opera a temperature criogeniche, perciò i fisici delle particelle hanno dovuto costruirsela da sé. Una collaborazione tra numerosi laboratori nazionali afferenti al Dipartimento dell’Energia, incluso il Fermilab, ha sviluppato prototipi dell’elettronica che verrà alla fine utilizzata nell’esperimento internazionale DUNE – Deep Underground Neutrino Experiment, ospitato dal Fermilab.
To support new initiatives in detector R&D, the Fermilab Detector R&D group allocated funds to test initial ideas before applying for larger supports like the LDRD. While all Blue Sky ideas are considered, priorities are given for ideas aligned with the strategic directions of the lab in Pico Second Timing and Noble Element Based detectors, including light and charge collection. One page proposals to the Detector Advisory Group are due April 30. Eligible PIs have to be Fermilab employees. For…
When scientists begin taking data with the Deep Underground Neutrino Experiment in the mid-2020s, they’ll be able to peer 13.8 billion years into the past and address one of the biggest unanswered questions in physics: Why is there more matter than antimatter? To do this, they’ll send a beam of neutrinos on an 800-mile journey from Fermilab to Sanford Underground Research Facility in South Dakota. To detect neutrinos, researchers at several DOE national laboratories, including Fermilab, are developing integrated electronic circuitry that can operate in DUNE’s detectors — at temperatures around minus 200 degrees Celsius. They plan to submit their designs this summer.
Missing March Madness? Let Fermilab fill a small part of the void created in these times of social distancing and shelter-in-place. Participate in Fermilab’s sendup of the NCAA tournament: March Magnets. Learn about eight different types of magnets used in particle physics, each with an example from a project or experiment in which Fermilab is a player. Then head over to the Fermilab Twitter feed on March 30 to participate in our March Magnets playoffs.
Evan Angelico, graduate student at the University of Chicago, sets up the time-of-flight experiment (T-1553) at the Fermilab Test Beam Facility. The experiment studies techniques to identify high-energy particles based on their velocity by measuring their positions and arrival times with novel large-area picosecond photodetectors, known as LAPPDs.
What if you want to capture an image of a process so fast that it looks blurry if the shutter is open for even a billionth of a second? This is the type of challenge scientists on experiments like CMS and ATLAS face as they study particle collisions at CERN’s Large Hadron Collider. An extremely fast new detector inside the CMS detector will allow physicists to get a sharper image of particle collisions.
This assembly and transport frame is patiently awaiting completion in the DZero Assembly Building. When completed, it will enable the support and transport of the SBND detector to its final destination, the Short-Baseline Neutrino Near Detector hall, 110 meters from the Booster Neutrino Beam target. SBND is one of the three particle detectors that make up the Short-Baseline Neutrino program at Fermilab. A 4-by-4-by-5 meter detector, it will consist in a tank filled with liquid argon and a series of anode plane assemblies.
From Cold Facts, Feb. 13, 2020: The Cryogenic Society of America picks up Fermilab’s story on the new SuperCDMS dilution refrigerator at SNOLAB near Sudbury, Ontario, Canada.