Results and Prospects from NOvA

NOvA is a long-baseline neutrino experiment that uses an upgraded NuMI neutrino source at Fermilab and a 14-kton detector at Ash River, Minnesota. The detector has a highly active, finely segmented design that offers superb event identification capability. This talk presents the latest $\nu_\mu$ ($\bar{\nu}_\mu$) disappearance and $\nu_e$ ($\bar{\nu}_e$) appearance combined results using the first NOvA anti-neutrino beam data. In the far detector, 18 $\bar{\nu}_e$ candidate events are observed, with a significance of $\bar{\nu}_e$ appearance more than 4 $\sigma$. The NOvA results favor a normal neutrino mass hierarchy.Comment: Presentation at the 20th International Workshop on Neutrinos from Accelerators (NuFACT2018), 12-18 August 2018, Blacksburg, Virgini

Tau Neutrinos in the Next Decade: from GeV to EeV

Tau neutrinos are the least studied particle in the Standard Model. Thiswhitepaper discusses the current and expected upcoming status of tau neutrinophysics with attention to the broad experimental and theoretical landscapespanning long-baseline, beam-dump, collider, and astrophysical experiments.This whitepaper was prepared as a part of the NuTau2021 Workshop.<br

Neutron Cross Section Measurement In The Protodune-Sp Experiment

Understanding the detector response to neutrons will be critical for performing neutrino oscillation analyses in the next-generation Deep Underground Neutrino Experiment (DUNE). The DUNE physics program is centered around measuring the neutrino flavor composition as a function of their energy both at the near and the far detector. Neutrinos in the DUNE beam will have energies ranging between 100 MeV and 10 GeV, which is significant, because individual neutrino energies will not be known beforehand and will have to be reconstructed. Neutrino interactions in DUNE will produce leptons and hadrons – including protons, pions, and neutrons. Neutrons can transport energy away from their origin and sometimes go undetected. In addition to the primary neutrons produced by the neutrino, subsequent interactions of the charged hadrons can result in secondary neutrons. Neutrons are a source of missing energy and will bias the neutrino energy measurement. Currently, there is also a 20% energy scale uncertainty and a 40% uncertainty on the energy resolution for neutrons in DUNE, which must be addressed. ProtoDUNE Single-Phase (ProtoDUNE-SP) is a 770-ton prototype for the DUNE far detector and was designed to both validate the technology that will be employed in DUNE and to measure cross sections for the charged hadrons (pions, protons, and kaons) at the relevant energies for DUNE. The ProtoDUNE-SP experiment, therefore, is in a unique position to characterize the secondary neutron component for DUNE. This is achieved by searching for candidate neutron interactions in ProtoDUNE-SP events and using these to facilitate a measurement of the neutron inelastic cross section as well as an estimate of the neutron energy and number. The cross section measurement presented here is based on neutrons produced in 1 GeV, π+ events captured in 2018 by ProtoDUNE-SP in accordance with the production and cross section models in theGEANT4 simulation toolkit, version 4.10.6p1. The best-fit neutron inelastic cross section, in the kinetic energy range of 114 to 314 MeV, is 1.24(+0.10)(−0.08) (stat. ⊕ syst.) barns

Applications and Techniques for Fast Machine Learning in Science

In this community review report, we discuss applications and techniques for fast machine learning (ML) in science - the concept of integrating powerful ML methods into the real-time experimental data processing loop to accelerate scientific discovery. The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for training and implementing performant and resource-efficient ML algorithms; and computing architectures, platforms, and technologies for deploying these algorithms. We also present overlapping challenges across the multiple scientific domains where common solutions can be found. This community report is intended to give plenty of examples and inspiration for scientific discovery through integrated and accelerated ML solutions. This is followed by a high-level overview and organization of technical advances, including an abundance of pointers to source material, which can enable these breakthroughs

DUNE Offline Computing Conceptual Design Report

This document describes the conceptual design for the Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE). The goals of the experiment include 1) studying neutrino oscillations using a beam of neutrinos sent from Fermilab in Illinois to the Sanford Underground Research Facility (SURF) in Lead, South Dakota, 2) studying astrophysical neutrino sources and rare processes and 3) understanding the physics of neutrino interactions in matter. We describe the development of the computing infrastructure needed to achieve the physics goals of the experiment by storing, cataloging, reconstructing, simulating, and analyzing $\sim$ 30 PB of data/year from DUNE and its prototypes. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions and advanced algorithms as HEP computing evolves. We describe the physics objectives, organization, use cases, and proposed technical solutions

SNO+ waterphase burst principal component analysis

SNO+ is a kilo-tonne scale neutrino detector utilizing much of the same hardware that was used during the SNO experiment. The SNO+ experiment will be conducted using three different target media in three phases: water phase, pure scintillator phase and tellurium loaded scintillator phase. Through all phases SNO+ will be sensitive to a large neutrino burst from a nearby supernova. Data bursts can be caused by a supernova neutrino burst or other physical phenomena such as electronic pickup, static discharge, equipment malfunctions and unintended light injection. This thesis examines data bursts which occurred during the light water phase commissioning of detector operation using a principal component analysis. The principal component analysis showed 3 major groupings within the analysed bursts: bursts during period of time with detector running issues, burst generated due to electronics break downs or light injection and bursts occurring during periods of time where the detector is operated in an abnormal running mode. The analysis in this thesis also shows that many of the data bursts were caused by detector running issues after some initial burst event. Since the state of the detector has been improved, a repetition of this study is recommended with more recent dataMaster of Science (MSc) in Physic