Bulletin of the American Physical Society
APS April Meeting 2021
Volume 66, Number 5
Saturday–Tuesday, April 17–20, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session E18: Neutrino Oscillations IILive
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Sponsoring Units: DPF Chair: Jeremy Wolcott, Tufts |
Saturday, April 17, 2021 3:45PM - 3:57PM Live |
E18.00001: MicroBooNE's Search for a Photon-Like Low Energy Excess Kathryn Sutton MicroBooNE is a Liquid Argon Time Projection Chamber detector that has been taking data since 2015. One of its primary goals is to investigate the unexplained excess of electromagnetic events in the lowest energy ranges observed in the same neutrino beam line in the MiniBooNE experiment. While one leading interpretation of this anomaly is electron neutrino appearance due to sterile neutrino oscillations, a viable Standard Model explanation is neutrino-induced single photon events. The MicroBooNE single photon analysis looks to test this interpretation by measuring the rate of neutrino-induced resonant neutral current (NC) delta baryon production and subsequent delta radiative decay with a single photon in the final state, NC $\Delta\rightarrow N\gamma$. This search for a process that has never been observed before in neutrino scattering is projected to improve upon the current experimental limit from T2K by greater than a factor of thirty. This talk will present the status of the MicroBooNE single photon analysis and the outlook for subsequent measurements. [Preview Abstract] |
Saturday, April 17, 2021 3:57PM - 4:09PM Live |
E18.00002: Generic Neutrino Selection in the MicroBooNE LArTPC Using the WireCell Reconstruction Framework London Cooper-Troendle MicroBooNE is a surface-based Liquid Argon Time Projection Chamber (LArTPC) situated in the path of the Booster Neutrino Beam at Fermilab. As a surface-based detector, the MicroBooNE LArTPC experiences a massive rate of background cosmic rays crossing the detector volume. Numerous techniques are used to reject these background events in order to achieve a high-efficiency, high-purity neutrino event selection. The Wire-Cell analysis is a reconstruction framework that attempts to leverage all of the detector information available to aid in reconstructing neutrino information and removing background sources. The two most notable background-removal algorithms are a charge-light matching algorithm that leverages the precision flash timing to remove backgrounds, and a trajectory fitting algorithm that allows high quality calorimetric measurements to be made. These algorithms and others allow for an initial neutrino-signal-to-cosmic-ray-background ratio of 1:20,000 to be improved to 6:1 while maintaining an inclusive neutrino selection efficiency of over 80\%. This generic neutrino selection serves as a strong foundation for further oscillation and cross section analyses within Wire-Cell. [Preview Abstract] |
Saturday, April 17, 2021 4:09PM - 4:21PM Live |
E18.00003: Evolution of Neutrino Mass-Mixing Parameters in Matter with Non-Standard Interactions Sudipta Das, Pragyanprasu Swain, Mehedi Masud, Sanjib Kumar Agarwalla We explore the role of matter effect in the evolution of neutrino oscillation parameters in the presence of flavor-conserving and flavor-violating non-standard interactions (NSIs) of the neutrino. We derive simple approximate analytical expressions showing the evolution/running of the mass-mixing parameters in matter with energy and in presence of NSIs. We observe that only the NSIs in (2,3) block ($\varepsilon_{\mu\mu}$, $\varepsilon_{\tau\tau}$, and $\varepsilon_{\mu\tau}$) affect the running of $\theta_{23}$. Though all the NSIs influence the evolution of $\theta_{13}$, $\varepsilon_{e\mu}$ and $\varepsilon_{e\tau}$ show a stronger impact. $\theta^m_{12}$ saturates to $\pi/2$ at smaller energy. We demonstrate the utility of our approach in addressing several important features related to neutrino oscillation such as: a) unraveling interesting degeneracies between $\theta_{23}$ and NSI parameters, b) estimating the resonance energy in presence of NSIs when $\theta_{13}$ in matter becomes maximal, c) figuring out the required baseline length and neutrino energies to have maximal matter effect in $\nu_{\mu}$ $\rightarrow$ $\nu_{e}$ transition with NSIs, and d) studying the impact of NSIs in (2,3) block on the $\nu_{\mu}$ survival probability. [Preview Abstract] |
Saturday, April 17, 2021 4:21PM - 4:33PM Live |
E18.00004: Optical Photon Tracking in GEANT-4 for the PROSPECT-II Detector Upgrade Shashank Jayakumar The PROSPECT short-baseline reactor experiment is designed to perform a precision measurement of the antineutrino spectrum associated with 235-U and probe, to high-significance, sterile neutrino driven oscillations with mass splittings at the eV scale.The PROSPECT detector consists of a single volume of 6Li-loaded liquid scintillator separated into 154 optically isolated segments, and operates at a distance of 7-11m from the compact High-Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory. An improved version of the detector, PROSPECT-II, is in the design phase. Optical photon tracking in GEANT-4 has been used to model optical properties of the upgrade design and validate important detector performance parameters. This talk will explore the methods used and the results obtained through Monte Carlo simulation and comparison with data. [Preview Abstract] |
Saturday, April 17, 2021 4:33PM - 4:45PM Live |
E18.00005: Calibration system for PROSPECT-II Xiaobin Lu The PROSPECT experiment completed its first data-taking run by the end of 2018 and reported high precision electron-antineutrino spectra and oscillation results at a short baseline about $\sim$ 7m from the highly-enriched $^{235}$U reactor core at High Flux Isotope Reactor(HFIR). For the second run an upgraded detector PROSPECT-II aims to further reduce $^{235}$U spectrum uncertainty and expand the oscillation sensitivity in the high mass-splitting regime. The upgrades include modifications of the containment vessel, inner detector, and external calibration system to minimize dead mass inside the detector and contact with the liquid scintillator. In this talk, I will present the details of the calibration system performance expected in PROSPECT-II based on PROSPECT-I data and Monte Carlo simulations. [Preview Abstract] |
Saturday, April 17, 2021 4:45PM - 4:57PM Live |
E18.00006: Machine Learning Analysis of PROSPECT Data Blaine Heffron PROSPECT is a segmented liquid scintillator detector that has successfully measured the antineutrino spectrum at a highly enriched uranium reactor. A number of efforts are underway in order to apply machine learning (ML) techniques to improve existing cut-based data analysis. ML applications include inverse beta decay event selection, particle identification, and single PMT event reconstruction. A description of the techniques being developed is presented along with comparisons to existing analysis methods. Uncertainty estimations of the applied techniques are detailed. [Preview Abstract] |
Saturday, April 17, 2021 4:57PM - 5:09PM Live |
E18.00007: Neutrino interaction modelling using DUNE's ultra-high performance gaseous argon near detector Sebastian Jones Mismodelling of neutrino interactions in long baseline oscillation experiments can lead to significant biases in the measured neutrino oscillation parameters. In order to prevent this mismodelling, long baseline neutrino oscillation experiments typically use a near detector to constrain their interaction model. The DUNE experiment will feature a multi-component near detector (ND) which will serve this purpose. The ND-GAr component of the DUNE ND is particularly well-suited to this purpose, with a low energy threshold for track reconstruction and excellent particle identification capabilities. ND-GAr will consist of a time projection chamber filled with an argon-methane mixture operating at a pressure of 10~bar, surrounded by an electromagnetic calorimeter. The whole detector will be within a 0.5~T magnetic field. We show that information gained from simulated ND-GAr events can be used to identify the prescence of a deficiency in the interaction model. In this case, the `deficiency' we introduce is the use of an alternative neutrino interaction generator. Additionally, results are presented showing that information from the near detector can be used to reweight far detector Monte Carlo events, reducing biases in the oscillation parameters induced by cross-section mismodelling. [Preview Abstract] |
Saturday, April 17, 2021 5:09PM - 5:21PM Live |
E18.00008: Regression CNNs for Kinematic Reconstruction in DUNE Ben Jargowsky Accurate estimation of neutrino energy is necessary to make a measurement of the oscillation parameters in long-baseline neutrino experiments. The Deep Underground Neutrino Experiment (DUNE) has developed energy estimators using regression Convolutional Neural Networks (CNNs) for both νe charged current and νμ charged current events, which take 3 images of the event, one for each wire plane, and output one number for the estimated energy. These CNN based energy estimators have improved performance compared to the traditional methods, and also have performance which is more consistent over the spectrum of true neutrino energy. CNNs have also been successfully trained to estimate the energy of the final-state charged lepton. Besides energy, CNNs have been trained to reconstruct the direction of the final-state lepton, using a 3D image of the event as input. The direction reconstructed by this method sees an overall improvement over the traditional method. [Preview Abstract] |
Saturday, April 17, 2021 5:21PM - 5:33PM Live |
E18.00009: Prospects for anomalous tau neutrino appearance searches at the DUNE Near Detector Miriama Rajaoalisoa The DUNE experiment will use the new LBNF neutrino beam sampled at the Near Detector complex (DUNE ND), 574 m downstream of the production target, and at the Far detector, 1300 km away at the SURF laboratory. The multi-detector DUNE ND, with a LAr TPC (Liquid Argon Time Projection Chamber) as its primary detector, enables DUNE to probe for new physics beyond the Standard Model, such as short-baseline tau neutrino appearance mediated by sterile neutrino oscillations. Due to the high energy production threshold of the tau lepton and its very short lifetime, detection of tau neutrinos is very challenging, but the large statistics expected (especially in high-energy configuration) for the LBNF beam, as well as the excellent spatial resolution of the DUNE ND detectors, present an opportunity to search for this unique signature. This study is focused on charged-current tau neutrino interactions, identified using multivariate methods based on kinematic variables. In this talk, I will review the tau neutrino selection strategy for the DUNE ND, and present DUNE's expected sensitivities to short-baseline tau neutrino appearance, assuming mixing between active and sterile neutrinos. [Preview Abstract] |
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