51 research outputs found

    Improvement of computerized mass detection on mammograms: Fusion of twoâ view information

    Full text link
    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135080/1/mp6098.pd

    Reconstruction for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures

    Full text link
    Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is becoming more difficult as the detectors increase in size to reach their physics goals. In liquid argon time projection chambers (TPCs) the charged particles from neutrino interactions produce ionization electrons which drift in an electric field towards a series of collection wires, and the signal on the wires is used to reconstruct the interaction. The MicroBooNE detector currently collecting data at Fermilab has 8000 wires, and planned future experiments like DUNE will have 100 times more, which means that the time required to reconstruct an event will scale accordingly. Modernization of liquid argon TPC reconstruction code, including vectorization, parallelization and code portability to GPUs, will help to mitigate these challenges. The liquid argon TPC hit finding algorithm within the \texttt{LArSoft}\xspace framework used across multiple experiments has been vectorized and parallelized. This increases the speed of the algorithm on the order of ten times within a standalone version on Intel architectures. This new version has been incorporated back into \texttt{LArSoft}\xspace so that it can be generally used. These methods will also be applied to other low-level reconstruction algorithms of the wire signals such as the deconvolution. The applications and performance of this modernized liquid argon TPC wire reconstruction will be presented

    νμ CC1π+ Events Produced in the T2K Beam at Super-Kamiokande

    No full text
    T2K is an experiment designed to make precision measurements of neutrino oscillation parameters. Neutrinos produced in the Japan Proton Accelerator Complex are sent 295 km across Japan to the far detector Super-Kamiokande. Charged current quasi-elastic neutrino interactions in which the neutrino produces a lepton and a nucleon are dominant at T2K beam energies, and these are the signal events used in the measurement of muon disappearance parameters θ₂₃ and ∆m²₃₂. The second most dominant neutrino interaction mode at T2K is the charged current single pion interaction (CC1π+) in which both a lepton and a charged pion are produced in addition to the nucleon. This thesis presents a method to identify charged pions and CC1π+ neutrino interactions at Super-Kamiokande. This is used to develop a selection method for muon neutrino CC1π+ interactions at Super-Kamiokande in the T2K beam. There are 93 events expected based on Monte Carlo predictions which would increase the number of muon neutrino events in the T2K analysis by 40%. Methods developed to evaluate the systematic errors associated with explicitly selecting charged pions at Super-Kamiokande for the first time are also discussed.Science, Faculty ofPhysics and Astronomy, Department ofGraduat

    Reconstruction for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures

    Get PDF
    Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is becoming more difficult as the detectors increase in size to reach their physics goals. In liquid argon time projection chambers (TPCs) the charged particles from neutrino interactions produce ionization electrons which drift in an electric field towards a series of collection wires, and the signal on the wires is used to reconstruct the interaction. The MicroBooNE detector currently collecting data at Fermilab has 8000 wires, and planned future experiments like DUNE will have 100 times more, which means that the time required to reconstruct an event will scale accordingly. Modernization of liquid argon TPC reconstruction code, including vectorization, parallelization and code portability to GPUs, will help to mitigate these challenges. The liquid argon TPC hit finding algorithm within the LArSoft framework used across multiple experiments has been vectorized and parallelized. This increases the speed of the algorithm on the order of ten times within a standalone version on Intel architectures. This new version has been incorporated back into LArSoft so that it can be generally used. These methods will also be applied to other low-level reconstruction algorithms of the wire signals such as the deconvolution. The applications and performance of this modernized liquid argon TPC wire reconstruction will be presented
    • …
    corecore