41 research outputs found
UM Physics Student Wins Prestigious Research Award
No full textWanwei Wu headed to FermiLab to further study particle physic
Energy Reconstruction and Calibration of the MicroBooNE LArTPC
No full textThe Liquid Argon Time Projection Chamber (LArTPC) is increasingly becoming the chosen technology for current and future precision neutrino oscillation experiments due to its superior capability in particle tracking and energy calorimetry. In LArTPCs, calorimetric information is critical for particle identification, which is the foundation for neutrino cross-sections and oscillation measurements, as well as searches for beyond-standard-model physics. One of the primary challenges in employing LArTPC technology is characterizing its performance and quantifying the associated systematic uncertainties. MicroBooNE, the longest-operating LArTPC to date, has performed numerous such measurements, including studies of detector physics and electromagnetic shower reconstruction. Here, we present results on the operation and performance of the detector during its data taking, highlighting accomplishments toward calorimetric reconstruction, calibration, and detector physics
Semi-Leptonic Decay Of Lambda-B In The Standard Model And With New Physics
No full textHeavy quark decays provide a very advantageous investigation to test the Standard Model (SM). Recently, promising experiments with b quark, as well as the analysis of the huge data sets produced at the B factories, have led to an increasing study and sensitive measurements of relative b quark decays. In this thesis, I calculate various observables in the semi-leptonic decay process Λb → Λ cτν[special character omitted]τ both in the SM and in the presence of New Physics (NP) operators with different Lorentz structures. The results are relevant for the coming measurement of this semi-leptonic decay at LHC b experiment in CERN, and also provide theoretical predictions to refine the physics beyond the SM
A deep-learning based charged-current electron neutrino interaction identification in the ArgoNeuT experiment
No full textIdentification of electron neutrino interactions in liquid argon time projection chambers is essential to seeking answers to questions of the fundamental nature of neutrinos. These analyses include determining the ordering of the mass states and the value of the CP-violating phase in the neutrino sector in the Deep Underground Neutrino Experiment (DUNE), and performing neutrino oscillation measurements and beyond the Standard Model searches in the Fermilab Short-Baseline Neutrino Program. The deep learning approach based on a convolutional neural network for highly efficient and pure selections of charged-current neutrino interactions forms a key part of neutrino oscillation analysis sensitivities in DUNE. It is important to test the network performance on real neutrino data. The ArgoNeuT experiment has collected GeV-scale neutrino/antineutrino data, which has been used to investigate the deep-learning based identification of charged-current electron neutrino interactions. We will show the reconstruction performance using different readout planes and compare that with the traditional electron neutrino classification method developed in the ArgoNeuT experimen
The Beam Dynamics And Beam Related Uncertainties In Fermilab Muon G-2 Experiment
No full textThe anomaly of the muon magnetic moment, aμ ≡ (g-2)/2, has played an important role in constraining physics beyond the Standard Model for many years. Currently, the Standard Model prediction for aμ is accurate to 0.42 parts per million (ppm). The most recent muon g-2 experiment was done at Brookhaven National Laboratory (BNL) and determined aμ to 0.54 ppm, with a central value that differs from the Standard Model prediction by 3.3-3.6 standard deviations and provides a strong hint of new physics. The Fermilab Muon g-2 Experiment has a goal to measure aμ to unprecedented precision: 0.14 ppm, which could provide an unambiguous answer to the question whether there are new particles and forces that exist in nature. To achieve this goal, several items have been identified to lower the systematic uncertainties. In this work, we focus on the beam dynamics and beam associated uncertainties, which are important and must be better understood. We will discuss the electrostatic quadrupole system, particularly the hardware-related quad plate alignment and the quad extension and readout system. We will review the beam dynamics in the muon storage ring, present discussions on the beam related systematic errors, simulate the 3D electric fields of the electrostatic quadrupoles and examine the beam resonances. We will use a fast rotation analysis to study the muon radial momentum distribution, which provides the key input for evaluating the electric field correction to the measured aμ
A deep-learning based waveform region-of-interest finder for the liquid argon time projection chamber
No full textParallel Flash Talk at the
"XIX International Workshop on Neutrino Telescopes"
on line - 18-26 February, 2021On behalf of the ArgoNeuT Collaboration
Fermilab-Slides-21-007-ND-SCD-
Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma
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