244 research outputs found
Design and construction of the MicroBooNE Cosmic Ray Tagger system
The MicroBooNE detector utilizes a liquid argon time projection chamber
(LArTPC) with an 85 t active mass to study neutrino interactions along the
Booster Neutrino Beam (BNB) at Fermilab. With a deployment location near ground
level, the detector records many cosmic muon tracks in each beam-related
detector trigger that can be misidentified as signals of interest. To reduce
these cosmogenic backgrounds, we have designed and constructed a TPC-external
Cosmic Ray Tagger (CRT). This sub-system was developed by the Laboratory for
High Energy Physics (LHEP), Albert Einstein center for fundamental physics,
University of Bern. The system utilizes plastic scintillation modules to
provide precise time and position information for TPC-traversing particles.
Successful matching of TPC tracks and CRT data will allow us to reduce
cosmogenic background and better characterize the light collection system and
LArTPC data using cosmic muons. In this paper we describe the design and
installation of the MicroBooNE CRT system and provide an overview of a series
of tests done to verify the proper operation of the system and its components
during installation, commissioning, and physics data-taking
A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber
We have developed a convolutional neural network (CNN) that can make a
pixel-level prediction of objects in image data recorded by a liquid argon time
projection chamber (LArTPC) for the first time. We describe the network design,
training techniques, and software tools developed to train this network. The
goal of this work is to develop a complete deep neural network based data
reconstruction chain for the MicroBooNE detector. We show the first
demonstration of a network's validity on real LArTPC data using MicroBooNE
collection plane images. The demonstration is performed for stopping muon and a
charged current neutral pion data samples
Ionization Electron Signal Processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE
The single-phase liquid argon time projection chamber (LArTPC) provides a
large amount of detailed information in the form of fine-grained drifted
ionization charge from particle traces. To fully utilize this information, the
deposited charge must be accurately extracted from the raw digitized waveforms
via a robust signal processing chain. Enabled by the ultra-low noise levels
associated with cryogenic electronics in the MicroBooNE detector, the precise
extraction of ionization charge from the induction wire planes in a
single-phase LArTPC is qualitatively demonstrated on MicroBooNE data with event
display images, and quantitatively demonstrated via waveform-level and
track-level metrics. Improved performance of induction plane calorimetry is
demonstrated through the agreement of extracted ionization charge measurements
across different wire planes for various event topologies. In addition to the
comprehensive waveform-level comparison of data and simulation, a calibration
of the cryogenic electronics response is presented and solutions to various
MicroBooNE-specific TPC issues are discussed. This work presents an important
improvement in LArTPC signal processing, the foundation of reconstruction and
therefore physics analyses in MicroBooNE.Comment: 54 pages, 36 figures; the first part of this work can be found at
arXiv:1802.0870
Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation
We describe the concept and procedure of drifted-charge extraction developed
in the MicroBooNE experiment, a single-phase liquid argon time projection
chamber (LArTPC). This technique converts the raw digitized TPC waveform to the
number of ionization electrons passing through a wire plane at a given time. A
robust recovery of the number of ionization electrons from both induction and
collection anode wire planes will augment the 3D reconstruction, and is
particularly important for tomographic reconstruction algorithms. A number of
building blocks of the overall procedure are described. The performance of the
signal processing is quantitatively evaluated by comparing extracted charge
with the true charge through a detailed TPC detector simulation taking into
account position-dependent induced current inside a single wire region and
across multiple wires. Some areas for further improvement of the performance of
the charge extraction procedure are also discussed.Comment: 60 pages, 36 figures. The second part of this work can be found at
arXiv:1804.0258
Vocal fold immobility after thyroidectomy with intraoperative recurrent laryngeal nerve monitoring
Acquired and congenital disorders of sung performance: A review.
Many believe that the majority of people are unable to carry a tune. Yet, this
widespread idea underestimates the singing abilities of the layman. Most
occasional singers can sing in tune and in time, provided that they perform at a
slow tempo. Here we characterize proficient singing in the general population
and identify its neuronal underpinnings by reviewing behavioral and neuroimaging
studies. In addition, poor singing resulting from a brain injury or neurogenetic
disorder (i.e., tone deafness or congenital amusia) is examined. Different lines
of evidence converge in indicating that poor singing is not a monolithic
deficit. A variety of poor-singing "phenotypes" are described,
with or without concurrent perceptual deficits. In addition, particular
attention is paid to the dissociations between specific abilities in poor
singers (e.g., production of absolute vs. relative pitch, pitch vs. time
accuracy). Such diversity of impairments in poor singers can be traced to
different faulty mechanisms within the vocal sensorimotor loop, such as pitch
perception and sensorimotor integration
First Measurement of Differential Charged Current Quasielasticlike νμ-Argon Scattering Cross Sections with the MicroBooNE Detector
We report on the first measurement of flux-integrated single differential cross sections for chargedcurrent
(CC) muon neutrino (νμ) scattering on argon with a muon and a proton in the final state, 40Ar
ðνμ; μpÞX. The measurement was carried out using the Booster Neutrino Beam at Fermi National
Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with an
exposure of 4.59 × 1019 protons on target. Events are selected to enhance the contribution of CC
quasielastic (CCQE) interactions. The data are reported in terms of a total cross section as well as single
differential cross sections in final state muon and proton kinematics.We measure the integrated per-nucleus
CCQE-like cross section (i.e., for interactions leading to a muon, one proton, and no pions above detection
threshold) of ð4.93 0.76stat 1.29sysÞ × 10−38 cm2, in good agreement with theoretical calculations. The
single differential cross sections are also in overall good agreement with theoretical predictions, except at
very forward muon scattering angles that correspond to low-momentum-transfer events.United States Department of Energy (DOE)National Science Foundation (NSF)Swiss National Science Foundation (SNSF)Science and Technology Facilities Council (STFC), part of the United Kingdom Research and InnovationRoyal Society of LondonAlbert Einstein Center for Fundamental Physics, Bern, SwitzerlandAzrieli FoundationZuckerman STEM Leadership ProgramIsrael Science FoundationVisiting Scholars Award Program of the Universities Research AssociationDE-AC02-07CH1135
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