Bulletin of the American Physical Society
APS April Meeting 2022
Volume 67, Number 6
Saturday–Tuesday, April 9–12, 2022; New York
Session S09: New Neutrino ResultsRecordings Available
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Sponsoring Units: DPF Chair: Shengchao Li, Purdue University Room: Salon 3 |
Monday, April 11, 2022 1:30PM - 1:42PM |
S09.00001: Fitting NOvA physics model parameters with Markov Chain Monte Carlo Michael Dolce The NuMI Off-Axis νe Appearance (NOvA) experiment is an 810 km base-line neutrino oscillation experiment measuring the fundamental properties of neutrinos and antineutrinos, using the high statistics data from the Near Detector (ND) at Fermilab to produce predictions for the Far Detector in Minnesota. This talk demonstrates the use of Markov Chain Monte Carlo (MCMC) -- a Bayesian inference tool -- to identify best-fit values for NOvA's physics model parameters. By utilizing NOvA ND-only fake data along with NOvA's ND simulation of neutrino interactions and its corresponding parameters as input, MCMC obtains probable values for each parameter to best agree with the ND fake data. MCMC provides a meaningful technique to obtain the best fit for NOvA's physics model parameters and to learn how they can be constrained with NOvA data. This work marks progress towards achieving a simultaneous two-detector MCMC fit of NOvA's physics model parameters to measure the neutrino oscillation parameters, sin2(θ23), Δm232, and δCP with its data. |
Monday, April 11, 2022 1:42PM - 1:54PM |
S09.00002: Reconstructing neutrino interactions in the liquid argon DUNE Near Detector using machine learning Jeremy Wolcott The next-generation DUNE experiment will depend on a combination of liquid argon time projection chambers (LArTPCs) and other detectors to make measurements of neutrino oscillation parameters with unprecedented precision. A LArTPC close to the neutrino beam source, the Near Detector LArTPC (ND-LAr), will be used to constrain uncertainties arising from beam flux and neutrino interaction modeling. This detector will use modular TPCs and pixel readout technology to help cope with challenges associated with the extremely high rate of neutrino interactions expected in ND-LAr. In conjunction, a new approach to event reconstruction that leverages recent advances in machine learning (ML) and the unprecedented detail afforded by LArTPC technology is also being pursued. A fully ML-based end-to-end reconstruction chain called DeepLearnPhysics has recently been demonstrated to cope successfully with analogous challenges on previous LArTPC experiments. We present the status of efforts to adapt DeepLearnPhysics for use in ND-LAr, including initial work towards reconstruction of νμ interactions in simulation. |
Monday, April 11, 2022 1:54PM - 2:06PM |
S09.00003: Regression CNNs for Reconstructing Neutrino Energy in the NOvA Experiment Benjamin Jargowsky NOvA is an accelerator neutrino experiment with an 810 km baseline. Using the NuMI beam located at Fermilab, NOvA measures electron neutrino appearance and muon neutrino disappearance at its far detector in northern Minnesota. NOvA uses deep learning in many different aspects of its reconstruction process. In this talk, we focus on convolutional neural networks (CNN) used to reconstruct energy. These regression CNNs take the raw cells from the detector as input, and give an estimate of the neutrino energy, or the energy of part of the neutrino event. Regression CNNs have been applied to both electron neutrino and muon neutrino events. The performance of these CNN-based methods sees an improvement compared to the traditional method. |
Monday, April 11, 2022 2:06PM - 2:18PM |
S09.00004: Extraction of an Inclusive Muon Neutrino Charged Current Differential Cross Section at MicroBooNE London Cooper-Troendle The MicroBooNE detector is a liquid argon time projection chamber located along the Booster Neutrino Beam at Fermilab. One of MicroBooNE's key physics goals is the measurement of neutrino-argon interaction cross sections. Due to the detector's fully active volume and high efficiency, MicroBooNE is well-suited to perform the first measurement of a triple-differential neutrino-argon cross section. Such a measurement would provide detailed new information for constraining the interaction models needed to interpret the results of future neutrino experiments. However, reliably extracting a triple-differential cross section from MicroBooNE's data set will require an accurate model to correct for finite detector resolution and reconstruction biases. Statistical tests demonstrating the validity of MicroBooNE's modeling of these effects, as well as single- and preliminary double-differential cross section results, are presented. |
Monday, April 11, 2022 2:18PM - 2:30PM |
S09.00005: Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector Aleena Rafique This talk describes the selection and reconstruction of low energy electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the Deep Underground Neutrino Experiment (DUNE) far detector, built and operated at CERN as a charged particle test beam experiment. The experiment collected data from August 2018 to July 2020. The analysis described here employs a fully automatic event selection and charged particle track reconstruction to obtain a sample of candidate cosmic muons, and to identify low-energy electrons around the end positions of selected candidate muons. Low-energy electron candidates are reconstructed using tools developed as a part of this analysis and the energy spectrum for low-energy electrons is obtained that can be used to evaluate ProtoDUNE-SP (and ultimately the DUNE far detector) response to electrons with energies up to ~50 MeV. Studies have been performed to verify the high purity (~95%) of selected Michel electron event candidates and to calibrate the low-energy electron energy scale with both the cosmic-muon dE/dx method and with use of the theoretical Michel electron energy spectrum. In addition, the effects of detector response to low-energy electrons including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. |
Monday, April 11, 2022 2:30PM - 2:42PM |
S09.00006: DUNE-PRISM analysis: A novel way for neutrino oscillation measurement Wei Shi For a long time, constraining neutrino interaction uncertainties has been difficult as no complete model of neutrino-nucleus interactions is available. As we enter the high precision era for long-baseline neutrino oscillation measurements, these uncertainties limit our ability to achieve the physics goals of next-generation experiments like the Deep Underground Neutrino Experiment (DUNE). A novel program called PRISM (Precision Reaction-Independent Spectrum Measurement) is proposed within DUNE to measure neutrino oscillations using a data-driven method to circumvent most theoretical modeling uncertainties. It requires the DUNE near detector (ND) to move off the neutrino beam axis to sample different neutrino energy spectra. These ND spectra serve as the basis for the prediction of the oscillated data at the far detector 1300km away. In this talk, I will elaborate on the innovative technique behind the DUNE-PRISM oscillation analysis and the most recent progress of the systematic impacts will be presented. These results guide us in determining what other studies need to be done to reduce the overall sensitivity of the oscillation parameters to interaction model uncertainties and detector effects. Plans and ideas for DUNE-PRISM oscillation analysis will also be presented. |
Monday, April 11, 2022 2:42PM - 2:54PM |
S09.00007: Status of the measurement of the muon neutrino charged-current cross section with zero mesons in the final state in the NOvA near detector Sebastian Sanchez Falero NOvA is a long-baseline accelerator neutrino experiment at Fermilab whose physics goals include precision neutrino oscillation as well as cross-section measurements. We present the status of the measurement of muon neutrino charged-current cross section with zero mesons in the final state at the NOvA near detector. This measurement will be made with respect to the kinematics of the final state particles. Our chosen interaction channel is especially sensitive to quasielastic and meson exchange current interactions and will provide a handle for constraining the cross section systematic uncertainties in oscillation analyses in current and future experiments. For particle identification, we use a convolutional neural network (CNN) trained on individual particles simulated in the NOvA near detector that allows us to select the desired signal while reducing the potential bias from neutrino interaction modeling. |
Monday, April 11, 2022 2:54PM - 3:06PM |
S09.00008: Data-Driven Background Constraints for Electron Neutrino Appearance in the NOvA Oscillation Analysis Miranda Elkins NOvA is a long baseline neutrino oscillation experiment, comprised of two functionally identical detectors, which measures electron neutrino appearance and muon neutrino disappearance at the Far Detector (FD) using neutrinos originating from the NuMI Beam at Fermilab. The Near Detector (ND) observes the highly pure muon neutrino or antineutrino NuMI beam before oscillations can occur, and provides us with a high statistics probe into understanding any misidentified events which could mimic our signal at the FD. This background to the electron neutrino appearance signal at the FD has three main components: charged current muon neutrino, neutral current, and charged current electron neutrino events. To accurately predict these FD background events, NOvA uses three different methods to obtain a data-driven correction to the background components at the ND and uses these ND constraints to estimate each of these at the FD. In my talk, I will present details of the background constraints and the extrapolation techniques for estimating the FD spectrum using both the neutrino and antineutrino dominated modes of the NuMI beam. |
Monday, April 11, 2022 3:06PM - 3:18PM |
S09.00009: Light Dark Matter at the ICARUS Neutrino Detector Using the NuMI Beam: selections and sensitivity Nicholas B Suarez, Vittorio Paolone, Animesh Chatterjee This talk will discuss the analysis framework made for a vector-portal light dark matter search using forthcoming data from the ICARUS-T600 detector at the Short-Baseline Neutrino physics program at Fermilab. Light dark matter has the potential to be found at the ICARUS-T600 detector thanks to its high-resolution timing and position 5.7 degrees off of the NuMI neutrino beam, where the low mass dark matter flux is expected to peak for a wide range of masses. Here the relevant backgrounds and analysis cuts will be discussed, and the sensitivity of the study to potential light dark matter demonstrated. |
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