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| Fermilab Short-Baseline Neutrino Program | |
|---|---|
| Name | Fermilab Short-Baseline Neutrino Program |
| Location | Batavia, Illinois |
| Established | 2015 |
| Type | Particle physics experiment |
Fermilab Short-Baseline Neutrino Program
The Fermilab Short-Baseline Neutrino Program is a coordinated set of experiments at the Fermi National Accelerator Laboratory designed to study neutrino properties using liquid argon time projection chambers and the Booster Neutrino Beam. Located near Batavia, Illinois, the program integrates resources from multiple international institutions including national laboratories and universities to address anomalies reported by earlier experiments and to provide inputs for future projects such as the Deep Underground Neutrino Experiment and the Long-Baseline Neutrino Facility. The program is closely connected to developments at the Fermi National Accelerator Laboratory accelerator complex and leverages expertise from collaborations that include participants from CERN, University of Chicago, and national research agencies.
The program comprises a triad of detectors situated along the Booster Neutrino Beam at Fermilab, employing advanced liquid argon time projection chamber technology derived from research at ICARUS, MicroBooNE, and design work influenced by ProtoDUNE. It was initiated to investigate the low-energy excess observed by the MiniBooNE experiment and to test sterile neutrino hypotheses that relate to results from LSND and other short-baseline anomalies. The initiative aligns with strategic priorities set by advisory bodies such as the Particle Physics Project Prioritization Panel and involves coordination with the U.S. Department of Energy and international partners like INFN and TRIUMF.
Primary goals include testing oscillation signals in the ~1 eV^2 mass-splitting regime suggested by LSND and MiniBooNE, measuring neutrino-argon cross sections relevant for DUNE, and characterizing neutrino interaction topologies to reduce systematic uncertainties for future long-baseline programs. The program aims to probe appearance and disappearance channels to constrain models involving light sterile neutrinos, nonstandard interactions explored in theoretical work by groups linked to FNAL theoretical physics division and to provide inputs for global fits conducted by collaborations that include researchers from Institute for Nuclear Research (INR) and University of Oxford. Ancillary physics includes searches for exotic processes that connect to studies at CERN experiments and astrophysical implications discussed in contexts like Super-Kamiokande and IceCube.
The detector complex comprises three primary liquid argon time projection chambers placed at different baselines: the near detector, an intermediate detector, and a far detector. Components draw heritage from MicroBooNE, which served as a technology demonstrator, and from refurbished systems such as ICARUS T600 relocated and upgraded for operation in the Fermilab beamline. The complex integrates cryogenic systems developed with contributions from Brookhaven National Laboratory, readout electronics informed by designs from SLAC National Accelerator Laboratory, and calibration systems using sources similar to those used in NOvA and MINERvA programs.
The Booster Neutrino Beam provides a predominantly muon-neutrino flux produced from protons accelerated in the Fermilab Booster and transported via the Main Injector and associated beamlines. Infrastructure upgrades included target station enhancements, magnetic focusing horns akin to those used in NuMI operations, and instrumentation for flux monitoring comparable to devices developed for T2K. The program relies on laboratory facilities for detector assembly and testing shared with projects such as Short-Baseline Near Detector efforts and benefits from computing resources integrated with the Open Science Grid and Fermilab data centers.
Experimental techniques combine high-resolution imaging using liquid argon time projection chambers with machine learning and pattern-recognition algorithms developed in collaboration with groups experienced from MicroBooNE and ICARUS. Reconstruction pipelines employ software stacks compatible with frameworks used by DUNE and leverage simulation tools originally created for GENIE neutrino interaction modeling and GEANT4 particle transport. Data analysis emphasizes control of systematic errors through in-situ calibration, external cross-section measurements from experiments like MINERvA, and joint analyses coordinated with theory groups at institutions such as CERN and University of California, Berkeley.
Published results from component experiments have provided constraints on electron-neutrino-like excesses observed by MiniBooNE and have informed limits on sterile neutrino parameter space when combined with global fits from analyses involving data sets from LSND, KARMEN, and reactor anomaly studies. MicroBooNE analyses have yielded detailed studies of neutrino-argon interactions and electromagnetic shower identification, influencing interpretations of low-energy excesses and guiding follow-up measurements with ICARUS and the intermediate detector. Ongoing combined analyses seek to deliver definitive statements about the existence of light sterile neutrinos and to refine cross-section inputs for DUNE sensitivity projections.
The program is organized as a multi-institutional collaboration including national laboratories such as Fermi National Accelerator Laboratory, Brookhaven National Laboratory, and Lawrence Berkeley National Laboratory, and universities including Massachusetts Institute of Technology, University of Oxford, Columbia University, and University of Chicago. Governance involves spokespersons drawn from participating institutions, coordination committees modeled after those used by ATLAS and CMS for large collaborations, and oversight from funding agencies such as the U.S. Department of Energy Office of Science and the National Science Foundation. International partners including INFN, CERN, TRIUMF, and agencies from multiple countries contribute hardware, software, and analysis expertise.