scholarly journals Neutrino interaction measurements with the MicroBooNE and ArgoNeuT liquid argon time projection chambers

2022 ◽  
Author(s):  
K. E. Duffy ◽  
A. P. Furmanski ◽  
E. Gramellini ◽  
O. Palamara ◽  
M. Soderberg ◽  
...  
Keyword(s):  
Cross Sections ◽  
Liquid Argon ◽  
Electron Neutrino ◽  
Neutrino Interaction ◽  
Neutrino Experiment ◽  
Short Baseline ◽  
Neutrino Scattering ◽  
Scattering Cross ◽  
Time Projection ◽  
Scattering Cross Sections

AbstractPrecise modeling of neutrino interactions on argon is crucial for the success of future experiments such as the Deep Underground Neutrino Experiment (DUNE) and the Short-Baseline Neutrino (SBN) program, which will use liquid argon time projection chamber (LArTPC) technology. Argon is a large nucleus, and nuclear effects—both on the initial and final-state particles in the interaction—are expected to be large in neutrino–argon interactions. Therefore, measurements of neutrino scattering cross sections on argon will be of particular importance to future DUNE and SBN oscillation measurements. This article presents a review of neutrino–argon interaction measurements from the MicroBooNE and ArgoNeuT collaborations, using two LArTPC detectors that have collected data in the NuMI and Booster Neutrino Beams at Fermilab. Measurements are presented of charged-current muon neutrino scattering in the inclusive channel, the ‘0$$\pi $$ π ’ channel (in which no pions but some number of protons may be produced), and single pion production (including production of both charged and neutral pions). Measurements of electron neutrino scattering are presented in the form of $$\nu _e+\bar{\nu }_e$$ ν e + ν ¯ e  inclusive scattering cross sections.

scholarly journals Supernova neutrino burst detection with the deep underground neutrino experiment

2021 ◽  
Vol 81 (5) ◽  
Author(s):  
B. Abi ◽  
R. Acciarri ◽  
M. A. Acero ◽  
G. Adamov ◽  
D. Adams ◽  
...  
Keyword(s):  
Liquid Argon ◽  
Neutrino Energy ◽  
Electron Neutrino ◽  
Core Collapse ◽  
Neutrino Experiment ◽  
Spectral Parameters ◽  
Deep Underground ◽  
Supernova Neutrino ◽  
Time Projection ◽  
Insight Into

AbstractThe deep underground neutrino experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. The general capabilities of DUNE for neutrino detection in the relevant few- to few-tens-of-MeV neutrino energy range will be described. As an example, DUNE’s ability to constrain the $$\nu _e$$ ν e spectral parameters of the neutrino burst will be considered.

scholarly journals Fast inference using FPGAs for DUNE data reconstruction

2020 ◽  
Vol 245 ◽  
pp. 01030
Author(s):  
Manuel J. Rodriguez
Keyword(s):  
Particle Physics ◽  
Computational Cost ◽  
Liquid Argon ◽  
Neutrino Interaction ◽  
Neutrino Experiment ◽  
Raw Data ◽  
Reconstruction Methods ◽  
Data Volume ◽  
Commercial Off The Shelf ◽  
Time Projection

The Deep Underground Neutrino Experiment (DUNE) will be a world-class neutrino observatory and nucleon decay detector aiming to address some of the most fundamental questions in particle physics. With a modular liquid argon time-projection chamber (LArTPC) of 40 kt fiducial mass, the DUNE far detector will be able to reconstruct neutrino interactions with an unprecedented resolution. With no triggering and no zero suppression or compression, the total raw data volume would be of order 145 EB/year. Consequently, fast and affordable reconstruction methods are needed. Several state-of-theart methods are focused on machine learning (ML) approaches to identify the signal within the raw data or to classify the neutrino interaction during the reconstruction. One of the main advantages of using those techniques is that they will reduce the computational cost and time compared to classical strategies. Our plan aims to go a bit further and test the implementation of those techniques on an accelerator board. In this work, we present the accelerator board used, a commercial off-the-shelf (COTS) hardware for fast deep learning (DL) inference based on an FPGA, and the experimental results obtained outperforming more traditional processing units. The FPGA-based approach is planned to be eventually used for online reconstruction.

scholarly journals The Short-Baseline Neutrino Program at Fermilab

2019 ◽  
Vol 69 (1) ◽  
pp. 363-387 ◽  
Author(s):  
Pedro A.N. Machado ◽  
Ornella Palamara ◽  
David W. Schmitz
Keyword(s):  
Liquid Argon ◽  
New Physics ◽  
Energy Scale ◽  
Neutrino Beam ◽  
Neutrino Experiment ◽  
Sterile Neutrinos ◽  
Short Baseline ◽  
Long Baseline ◽  
Fermi National Accelerator Laboratory ◽  
Time Projection

The Short-Baseline Neutrino (SBN) program consists of three liquid argon time-projection chamber detectors located along the Booster Neutrino Beam at Fermi National Accelerator Laboratory. Its main goals include searches for New Physics—particularly eV-scale sterile neutrinos, detailed studies of neutrino–nucleus interactions at the GeV energy scale, and the advancement of the liquid argon detector technology that will also be used in the DUNE/LBNF long-baseline neutrino experiment in the next decade. We review these science goals and the current experimental status of SBN.

scholarly journals Charged-current quasielastic neutrino scattering cross sections on12C with realistic spectral and scaling functions

2014 ◽  
Vol 89 (1) ◽  
Author(s):  
M. V. Ivanov ◽  
A. N. Antonov ◽  
J. A. Caballero ◽  
G. D. Megias ◽  
M. B. Barbaro ◽  
...  
Keyword(s):  
Cross Sections ◽  
Charged Current ◽  
Scaling Functions ◽  
Neutrino Scattering ◽  
Scattering Cross ◽  
Scattering Cross Sections

scholarly journals Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data

2021 ◽  
Vol 2021 (12) ◽  
Author(s):  
◽  
P. Abratenko ◽  
R. An ◽  
J. Anthony ◽  
J. Asaadi ◽  
...  
Keyword(s):  
Cross Sections ◽  
Particle Trajectory ◽  
Unit Length ◽  
Liquid Argon ◽  
Particle Identification ◽  
Neutrino Experiment ◽  
Short Baseline ◽  
Identification Rate ◽  
Reconstruction Performance ◽  
Deposited Energy

Abstract The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of this novel detector technology. Accurate and precise measurements of calorimetry are essential to the event reconstruction and are achieved by leveraging the TPC to measure deposited energy per unit length along the particle trajectory, with mm resolution. We describe the non-uniform calorimetric reconstruction performance in the detector, showing dependence on the angle of the particle trajectory. Such non-uniform reconstruction directly affects the performance of the particle identification algorithms which infer particle type from calorimetric measurements. This work presents a new particle identification method which accounts for and effectively addresses such non-uniformity. The newly developed method shows improved performance compared to previous algorithms, illustrated by a 93.7% proton selection efficiency and a 10% muon mis-identification rate, with a fairly loose selection of tracks performed on beam data. The performance is further demonstrated by identifying exclusive final states in νμCC interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.

Inelastic Neutrino Scattering Cross Sections in Supernova Simulation for Even-Even A≤60 Nuclei

2008 ◽  
Author(s):  
E. Guliyev ◽  
A. Kuliev ◽  
S. Ozkan ◽  
Z. Yildirim ◽  
Ismail Boztosun ◽  
...  
Keyword(s):  
Cross Sections ◽  
Neutrino Scattering ◽  
Scattering Cross ◽  
Scattering Cross Sections

Absolute inner-shell cross section determination for EELS analysis

1988 ◽  
Vol 46 ◽  
pp. 534-535
Author(s):  
P.A. Crozier
Keyword(s):  
Cross Section ◽  
Cross Sections ◽  
Absolute Cross Section ◽  
Specimen Thickness ◽  
Mass Thickness ◽  
Scattering Cross ◽  
Before And After ◽  
Estimated Error ◽  
Scattering Cross Sections ◽  
Electron Microscopist

Absolute inelastic scattering cross sections or mean free paths are often used in EELS analysis for determining elemental concentrations and specimen thickness. In most instances, theoretical values must be used because there have been few attempts to determine experimental scattering cross sections from solids under the conditions of interest to electron microscopist. In addition to providing data for spectral quantitation, absolute cross section measurements yields useful information on many of the approximations which are frequently involved in EELS analysis procedures. In this paper, experimental cross sections are presented for some inner-shell edges of Al, Cu, Ag and Au.Uniform thin films of the previously mentioned materials were prepared by vacuum evaporation onto microscope cover slips. The cover slips were weighed before and after evaporation to determine the mass thickness of the films. The estimated error in this method of determining mass thickness was ±7 x 107g/cm2. The films were floated off in water and mounted on Cu grids.

scholarly journals Towards fully nonperturbative computations of inelastic ℓN scattering cross sections from lattice QCD

2020 ◽  
Vol 102 (11) ◽  
Author(s):  
Hidenori Fukaya ◽  
Shoji Hashimoto ◽  
Takashi Kaneko ◽  
Hiroshi Ohki
Keyword(s):  
Lattice Qcd ◽  
Cross Sections ◽  
Scattering Cross ◽  
Scattering Cross Sections
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