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  1. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
    Free, publicly-accessible full text available June 1, 2023
  2. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
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  3. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
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  4. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review Letters)
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  5. ; ; ; ; ; ; ; ; ; ; et al ( , The European Physical Journal C)
    Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors,more »such as those used in SBN and DUNE.« less
    Free, publicly-accessible full text available May 1, 2023
  6. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review Letters)
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  7. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
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  8. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
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  9. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review Letters)
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  10. ; ; ; ; ; ; ; ; ; ; et al ( , Journal of High Energy Physics)
    A bstract The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of this novel detector technology. Accurate and precise measurements of calorimetry are essential to the event reconstruction and are achieved by leveraging the TPC to measure deposited energy per unit length along the particle trajectory, with mm resolution. We describe the non-uniform calorimetric reconstruction performance in the detector, showing dependence on the angle of the particle trajectory. Such non-uniform reconstruction directly affectsmore »the performance of the particle identification algorithms which infer particle type from calorimetric measurements. This work presents a new particle identification method which accounts for and effectively addresses such non-uniformity. The newly developed method shows improved performance compared to previous algorithms, illustrated by a 93.7% proton selection efficiency and a 10% muon mis-identification rate, with a fairly loose selection of tracks performed on beam data. The performance is further demonstrated by identifying exclusive final states in ν μ CC interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.« less
    Free, publicly-accessible full text available December 1, 2022