Electron neutrino charged-current quasielastic scattering in the MINERvA experiment

The electron-neutrino charged-current quasielastic (CCQE) cross section on nuclei is an important input parameter to appearance-type neutrino oscillation experiments. Current experiments typically work from the muon neutrino cross section and apply corrections from theoretical arguments to obtain a prediction for the electron neutrino cross section, but to date there has been no experimental verification of the estimates for this channel at an energy scale appropriate to such experiments. We present the first measurement of an exclusive reaction in few-GeV electron neutrino interactions, namely, the cross section for a CCQE-like process, made using the MINERvA detector. The result is given as differential cross-sections vs. the electron energy, electron angle, and square of the four-momentum transferred to the nucleus, $Q^2$. We also compute the ratio to a muon neutrino cross-section in $Q^2$ from MINERvA. We find satisfactory agreement between this measurement and the predictions of the GENIE generator.Comment: Presentation at the DPF 2015 Meeting of the American Physical Society Division of Particles and Fields, Ann Arbor, Michigan, August 4-8, 201

Recent highlights from GENIE v3

Funder: u.s. department of energy; doi: http://dx.doi.org/10.13039/100000015AbstractThe release of GENIE v3.0.0 was a major milestone in the long history of the GENIE project, delivering several alternative comprehensive neutrino interaction models, improved charged-lepton scattering simulations, a range of beyond the Standard Model simulation capabilities, improved experimental interfaces, expanded core framework capabilities, and advanced new frameworks for the global analysis of neutrino scattering data and tuning of neutrino interaction models. Steady progress continued following the release of GENIE v3.0.0. New tools and a large number of new physics models, comprehensive model configurations, and tunes have been made publicly available and planned for release in v3.2.0. This article highlights some of the most recent technical and physics developments in the GENIE v3 series.</jats:p

Measurement of the charged-current quasi-elastic cross-section for electron neutrinos on a hydrocarbon target

Thesis (Ph. D.)--University of Rochester. Department of Physics and Astronomy, 2015.We report herein the first-ever measurement of a cross-section for an exclusive state in electron neutrino scattering at the GeV scale, which was made using the MINERνA detector in the NuMI neutrino beam at Fermilab. We present the electron neutrino CCQE differential cross-sections, which are averaged over neutrinos of energies 1-10 GeV (with mean energy of about 3 GeV), in terms of various kinematic variables: final-state electron angle, final-state electron energy, and the square of the four-momentum transferred to the nucleus by the neutrino, Q2. We also provide a total cross-section vs. neutrino energy. While our measurement of this process is found to be in agreement with the predictions of the GENIE event generator, we also report on an unpredicted photon-like process we observe in a similar kinematic regime. The absence of this process from models for neutrino interactions is a potential stumbling block for future on-axis neutrino oscillation experiments. We include kinematic and particle species identification characterizations which can be used in building models to help address this shortcoming

\u3ci\u3eDigital Media in Teaching and its Added Value\u3c/i\u3e

Editors: David F. Conway (UNO faculty member), Stefanie Hillen, Melodee Landis, Mary T. Schlegelmilch, Peter Wolcott (UNO faculty member) Chapter, The Value of Investigating Information Technology Applications for Teaching and Learning Purposes, co-authored by David F. Conway and Peter Wolcott, UNO faculty members. Chapter, Towards a Contingency Theory of eLearning, co-authored by Deepak Khazanchi, UNO faculty member. Chapter, Collaborative Technologies and Digital Media in Teaching and Learning: Starting Small and Learning Along the Way, co-authored by Jeanne Surface and Phyllis Adcock, UNO faculty members. Chapter, Information Technology for Development: Service Learning from Classroom to Community and Back Again, co-authored by Peter Wolcott, UNO faculty member. Chapter, The World Needs More Computer Science! What to do?, authored by Victor Winter, UNO faculty member. Chapter, Building an Online Systems Development Course – Experiences with Content and Interaction Design, authored by Paul J. A. van Vliet UNO faculty member. Chapter, Social Media Communication in the Classroom: A Pedagogical Case Study of Social Network Analysis, authored by Jeremy Harris Lipschultz, UNO faculty member. This book project was initiated in fall 2013 at the University of Nebraska at Omaha (UNO), Nebraska during a Global Engagement Research and Teaching Workshop between faculty from UNO and the University of Agder (UiA), Norway.The anthology presents articles that center on the application of digital technologies that add value to the teaching and learning process in a globalized context. The unique focus of the book is the intersection between pedagogy and technology, specifically the innovative use of technology to improve higher education teaching and learning. With the increased mobility of faculty and students, more diversity among our students and faculty, increased cross-disciplinary designs, alternative environments enabled by technology, and greater demand from the millennial generation for increased access and flexibility, it is important to share accounts where technology has made a positive impact on the instructional process.Topics that are discussed are local studies with implications for the global environment and the innovative use of technology to improve higher education teaching and learning.The target audiences for the book are researchers, teachers and stakeholders in learning organizations interested in using IT for teaching and learning.https://digitalcommons.unomaha.edu/facultybooks/1294/thumbnail.jp

AGKY Hadronization Model Tuning in GENIE v3

The GENIE neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as AGKY, which is interfaced with PYTHIA at high invariant mass. Only the low-mass AGKY model parameters were extracted from hadronic shower data from the FNAL 15 ft and BEBC experiments. In this paper, the first hadronization tune on averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments is presented, with a complete estimation of parameter uncertainties. A partial tune on deuterium data only highlights the tensions between hydrogen and deuterium datasets

Hadronization model tuning in genie v3

The genie neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as Andreopoulos-Gallagher-Kehayias-Yang (agky), which is interfaced with pythia at high invariant mass. Only the low-mass agky model parameters were extracted from hadronic shower data from the FNAL 15 ft and BEBC experiments. In this paper, the first hadronization tune on averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments is presented, with a complete estimation of parameter uncertainties. A partial tune on deuterium data highlights the tensions between hydrogen and deuterium datasets

Neutrino-nucleon cross-section model tuning in GENIE v3

We summarize the results of a study performed within the GENIE global analysis framework, revisiting the GENIE bare-nucleon cross-section tuning and, in particular, the tuning of (a) the inclusive cross section, (b) the cross section of low-multiplicity inelastic channels (single-pion and double-pion production), and (c) the relative contributions of resonance and nonresonance processes to these final states. The same analysis was performed with several different comprehensive cross-section model sets available in GENIE Generator v3. In this work we perform a careful investigation of the observed tensions between exclusive and inclusive data, and install analysis improvements to handle systematics in historic data. All tuned model configurations discussed in this paper are available through public releases of the GENIE Generator. With this paper we aim to support the consumers of these physics tunes by providing comprehensive summaries of our alternate model constructions, of the relevant datasets and their systematics, and of our tuning procedure and results

Neutrino-nucleus CC0π\pi cross-section tuning in GENIE v3

This article summarizes the state of the art of $\nu_\mu$ and $\bar{\nu}_\mu$ CC0$\pi$ cross-section measurements on carbon and argon and discusses the relevant nuclear models, parametrizations and uncertainties in GENIE v3. The CC0$\pi$ event topology is common in experiments at a few-GeV energy range. Although its main contribution comes from quasi-elastic interactions, this topology is still not well understood. The GENIE global analysis framework is exploited to analyze CC0$\pi$ datasets from MiniBooNE, T2K and MINERvA. A partial tune for each experiment is performed, providing a common base for the discussion of tensions between datasets. The results offer an improved description of nuclear CC0$\pi$ datasets as well as data-driven uncertainties for each experiment. This work is a step towards a GENIE global tune that improves our understanding of neutrino interactions on nuclei. It follows from earlier GENIE work on the analysis of neutrino scattering datasets on hydrogen and deuterium