Main Injector Archives

Assembly of test stand for DUNE near detector

On Nov. 7, a Fermilab crew moved the cryostat vessel for the DUNE Near Detector Liquid Argon Demonstrator (DUNE ND-LAr) prototyping test stand, also known as ArgonCube 2×2, into the MINOS cavern 100 meters underground. From left to right: Matthew Brock, Thomas Olszanowski, John A. Trebe and Thomas Wicks II. Four prototype ArgonCube TPC modules will be installed in this cryostat in 2023. The prototype modules will undergo testing with the NuMI neutrino beam, powered by Fermilab’s Main Injector accelerator.

Access to Kautz Rd. between MI62 and MI60 restricted beginning July 28

Access to Kautz Rd. between MI62 and MI60 will be restricted beginning Thursday, July 28. On July 28, excavation next to the road will begin and the road will be restricted to one lane. Depending on how quickly the excavation progresses, the road is expected to completely close to all traffic beginning Friday, July 29. Please use Indian Creek Rd. to access MI60 and the rest of the Main Injector. Kautz Rd. is expected to reopen in early September. Please…

Eyes and ears on you

A coyote stares directly into the camera from above on a green hill. Behind it, blue sky.

On Oct. 4, a coyote pauses on the Main Injector berm.

The great conjunction of Jupiter and Saturn as viewed from the Main Injector

On Dec. 20, 2020, on the day before the closest apparent approach, the great conjunction of Jupiter and Saturn is visible from the MI-14 service building.

Fermilab receives DOE funding to develop machine learning for particle accelerators

Engineers and scientists at Fermilab are designing machine learning programs for the lab’s accelerator complex. These algorithms will enable the laboratory to save energy, give accelerator operators better guidance on maintenance and system performance, and better inform the research timelines of scientists who use the accelerators. The pilot system will used on the Main Injector and Recycler, pictured here. It will eventually be extended to the entire accelerator chain. Photo: Reidar Hahn, Fermilab

Fermilab scientists and engineers are developing a machine learning platform to help run Fermilab’s accelerator complex alongside a fast-response machine learning application for accelerating particle beams. The programs will work in tandem to boost efficiency and energy conservation in Fermilab accelerators.

Capturing a coyote

(4/4) The coyote says goodbye. Photo: Zoe Toliopoulos Sherwin, nature, wildlife, animal, mammal, coyote, landscape, prairie, grass, plant

The coyote clearly belongs to this land.

Fermilab achieves milestone beam power for neutrino experiments

Years of work upgrading the accelerator have made it possible to achieve the high beam power needed to produce neutrinos — the most elusive of nature’s known particles — by the truckload.

Main Injector reaches 700-kilowatt beam power

The Main Injector recently demonstrated that it could generate a particle beam at 700 kilowatts, reaching the goal beam power for the next accelerator run.

High-energy physics in the City of Energy

Survey monument 66565, pictured here, is located next to the Main Injector cooling pond near MI-30. In the background is the Batavia “City of Energy” water storage tank and water being pumped from the tunnel into the pond.

Sunset over the Main Injector

The sun sets over the cooling sprayers behind the MI14 service building.