MicroBooNE
Lead Research Organisation:
University of Cambridge
Department Name: Physics
Abstract
The MicroBooNE experiment is a new type of neutrino detector that will operate at Fermilab (near Chicago) from 2015. It consists of a large volume (about the size of a double-decker bus) filled with liquid argon at -189 degrees Celsius. An intense beam of neutrinos is fired 470 m towards the detector from the Fermilab accelerator complex. Neutrinos are "ghost particles" that barely interact with matter and most will simply pass through the MicroBooNE detector and Earth's crust. However, the beam is sufficiently intense that a few 100,000 will interact in the detector in approximately three years. The MicroBooNE liquid argon technology enables the interactions to be photographed in three dimensions with sub-mm precision. This proposal focusses on the development of advanced reconstruction software to turn the recorded MicroBooNE data into three-dimensional images of the particles produced in the neutrino interactions.
Planned Impact
Three main areas of potential impact can be identified.
1) Societal impact through participation in this major experiment. The idea of firing neutrinos elusive neutrinos into a large tank of liquid argon and photographing the images in three dimensions has the potential to capture the imagination of the public and STEM students considering studying physic/mathematics. Through an active programme of public engagement, we will capitalise on this opportunity.
2) The development of liquid noble gas detectors is an important area in particle physics. The work in this proposal will place the UK in a stronger position to utilise this technology - possible applications beyond particle physics will be developed.
3) The development of sophisticated and flexible pattern recognition software for processing two-dimensional images from a LAr TPC and converting them into 3D reconstructed par tile tracks and showers may have applications in medical imaging applications - these areas will be investigated.
1) Societal impact through participation in this major experiment. The idea of firing neutrinos elusive neutrinos into a large tank of liquid argon and photographing the images in three dimensions has the potential to capture the imagination of the public and STEM students considering studying physic/mathematics. Through an active programme of public engagement, we will capitalise on this opportunity.
2) The development of liquid noble gas detectors is an important area in particle physics. The work in this proposal will place the UK in a stronger position to utilise this technology - possible applications beyond particle physics will be developed.
3) The development of sophisticated and flexible pattern recognition software for processing two-dimensional images from a LAr TPC and converting them into 3D reconstructed par tile tracks and showers may have applications in medical imaging applications - these areas will be investigated.
People |
ORCID iD |
Mark Thomson (Principal Investigator) |
Publications
Abratenko P
(2017)
Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering
in Journal of Instrumentation
Abratenko P
(2019)
First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_{?}~0.8 GeV with the MicroBooNE Detector.
in Physical review letters
Acciarri R
(2017)
Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter
in Journal of Instrumentation
Adams C
(2018)
Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation
in Journal of Instrumentation
Adams C
(2019)
First measurement of ? µ charged-current p 0 production on argon with the MicroBooNE detector
in Physical Review D
Adams C
(2019)
Rejecting cosmic background for exclusive charged current quasi elastic neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector
in The European Physical Journal C
Adams C
(2019)
Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber
in Physical Review D
Adams C
(2018)
Ionization electron signal processing in single phase LArTPCs. Part II. Data/simulation comparison and performance in MicroBooNE
in Journal of Instrumentation
Adams C
(2019)
Design and construction of the MicroBooNE Cosmic Ray Tagger system
in Journal of Instrumentation
Adams C
(2019)
Comparison of $${\varvec{\nu }}_{\varvec{\mu }}-$$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions MicroBooNE Collaboration
in The European Physical Journal C
Marshall J
(2017)
The Pandora multi-algorithm approach to automated pattern recognition in LAr TPC detectors
in Journal of Physics: Conference Series
Tran H
(2017)
Software compensation in particle flow reconstruction.
Tran HL
(2017)
Software compensation in particle flow reconstruction.
in The European physical journal. C, Particles and fields
Description | MicroBooNE Collaboration |
Organisation | Fermilab - Fermi National Accelerator Laboratory |
Department | MicroBooNE Experiment |
Country | United States |
Sector | Public |
PI Contribution | Software using the PandoraPFA framework is now being used by the MicroBooNE experiment to reconstruct neutrino interactions in data. |
Collaborator Contribution | Addressed a long-standing challenge with the interpretation of data from LAr-TPC detectors. The output of this research was used for the first results presented by the MicroBooNE collaboration at the Neutrino 2016 conference. |
Impact | Cross-disiplinary connecting research in collider physics to research in neutrino physics. |
Start Year | 2015 |