scholarly journals Overhaul and installation of the ICARUS-T600 liquid argon TPC electronics for the FNAL Short Baseline Neutrino program

2021 ◽  
Vol 16 (01) ◽  
pp. P01037-P01037
Author(s):  
L. Bagby ◽  
B. Baibussinov ◽  
B. Behera ◽  
V. Bellini ◽  
R. Benocci ◽  
...  
Keyword(s):  
Liquid Argon ◽  
Short Baseline

scholarly journals Felix Based Readout of The Single-Phase Protodune Detector

2019 ◽  
Vol 214 ◽  
pp. 01013
Author(s):  
Andrea Borga ◽  
Eric Church ◽  
Frank Filthaut ◽  
Enrico Gamberini ◽  
Jong Paul de ◽  
...  
Keyword(s):  
Single Phase ◽  
Time Windows ◽  
Sampling Rate ◽  
Liquid Argon ◽  
Atlas Collaboration ◽  
Short Baseline ◽  
Long Baseline ◽  
Neutrino Experiments ◽  
Time Projection ◽  
Anode Plane

The liquid argon Time Projection Chamber technique has matured and is now in use by several short-baseline neutrino experiments. This technology will be used in the long-baseline DUNE experiment; however, this experiment represents a large increase in scale, for which the technology needs to be validated explicitly. To this end, both the single-phase and dual-phase implementations of the technology are being tested at CERN in two full-scale (10 × 10 × 10 m3) ProtoDUNE setups. Besides the detector technology, these setups also allow for extensive tests of readout strategies. The Front-End LInk eXchange (FELIX) system was initially developed within the ATLAS collaboration and is based on custom FPGA-based PCIe I/O cards in combination with commodity servers. FELIX will be used in the single-phase ProtoDUNE setup to read the data coming from 2560 anode wires organized in a single Anode Plane Assembly structure. With a sampling rate of 2 MHz, the system must buffer and process an input rate of 74 Gb/s. Event building requests will arrive at a target rate of 25 Hz, and loss-less compression must reduce the data within the requested time windows before it is sent to the experiment’s event building farm. This paper discusses the design of the system as well as first operational experiences.

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 Cosmic Ray Background Removal With Deep Neural Networks in SBND

2021 ◽  
Vol 4 ◽  
Author(s):  
R. Acciarri ◽  
C. Adams ◽  
C. Andreopoulos ◽  
J. Asaadi ◽  
M. Babicz ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cosmic Ray ◽  
Liquid Argon ◽  
Short Baseline ◽  
Near Surface ◽  
Particle Count ◽  
Background Removal ◽  
Time Projection Chambers ◽  
Learning Techniques ◽  
Time Projection

In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying deep learning on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program. We use this technique to identify, on a pixel-by-pixel level, whether recorded activity originated from cosmic particles or neutrino interactions.

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.

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.

Ultra Short Baseline (USBL) Calibration for Positioning of Underwater Objects

2019 ◽  
Vol 2 (2) ◽  
pp. 73-85
Author(s):  
Bagus Septyanto ◽  
Dian Nurdiana ◽  
Sitti Ahmiatri Saptari
Keyword(s):  
Acoustic Wave ◽  
Scale Factor ◽  
Positioning System ◽  
Radio Waves ◽  
Short Baseline ◽  
Error Angle ◽  
Satellite Navigation System ◽  
The Earth ◽  
Underwater Positioning ◽  
Radio Signals

In general, surface positioning using a global satellite navigation system (GNSS). Many satellites transmit radio signals to the surface of the earth and it was detected by receiver sensors into a function of position and time. Radio waves really bad when spreading in water. So, the underwater positioning uses acoustic wave. One type of underwater positioning is USBL. USBL is a positioning system based on measuring the distance and angle. Based on distance and angle, the position of the target in cartesian coordinates can be calculated. In practice, the effect of ship movement is one of the factors that determine the accuracy of the USBL system. Ship movements like a pitch, roll, and orientation that are not defined by the receiver could changes the position of the target in X, Y and Z coordinates. USBL calibration is performed to detect an error angle. USBL calibration is done by two methods. In USBL calibration Single Position obtained orientation correction value is 1.13 ̊ and a scale factor is 0.99025. For USBL Quadrant calibration, pitch correction values is -1.05, Roll -0.02 ̊, Orientation 6.82 ̊ and scale factor 0.9934 are obtained. The quadrant calibration results deccrease the level of error position to 0.276 - 0.289m at a depth of 89m and 0.432m - 0.644m at a depth of 76m

О ТОЧНОСТИ ОПРЕДЕЛЕНИЯ КООРДИНАТ ПОДВОДНОГО МОДУЛЯ НА ОСНОВЕ ИЗМЕРЕННЫХ ПАРАМЕТРОВ ДВИЖЕНИЯ БУКСИРУЕМОЙ СИСТЕМЫ

2020 ◽  
Author(s):  
V.V. Kostenko ◽  
Yu.V. Vaulin ◽  
F.S. Dubrovin ◽  
O.Yu. Lvov
Keyword(s):  
Immersion Depth ◽  
Computational Algorithms ◽  
Navigation Systems ◽  
Short Baseline ◽  
Positioning Accuracy ◽  
Underwater Acoustic ◽  
Ground Speed ◽  
Cable Length ◽  
Acoustic Navigation

Буксируемый подводный модуль (БПМ) эффективно используется для решения задач, связанных с координированием подводных объектов, местоположение которых подлежит уточнению в процессе их детальногообследования. При этом большое значение имеет точность определения координат самого буксируемогомодуля относительно судна-буксировщика. Использование гидроакустических навигационных средств, вчастности систем с ультракороткой базой (ГАНС УКБ), ограничено вследствие помех, влияющих на качествосигналов в приемной антенне. Альтернативой служит метод определения координат БПМ на основе данныхтраекторных измерений параметров буксируемой системы. К числу последних относятся расчетные значенияпараметров кабеля связи в установившихся режимах буксировки, значения путевой скорости и путевого углабуксировщика, а также измеренные значения длины кабеля, глубины погружения и курса БПМ. В работе дансравнительный анализ различных вариантов вычислительных алгоритмов, позволяющих получить оценки точности определения координат БПМ в различных режимах стационарной буксировки и при наличии сбоев вработе навигационных средств.The towed underwater module (TUM) is a useful toolfor solving problems of the positioning of the underwaterobjects, the location of which must be clarified during its detailedinspection. Herewith, the accuracy of the determinationof the coordinates of the towed module itself relative tothe towing vessel is essential for such kind of problems. Theuse of underwater acoustic navigation means, the systemswith ultra-short baseline (USBL) in particular, are limiteddue to interference affecting the quality of the signals on thereceiving antenna. As an alternative, the method is proposedfor TUM positioning based on trajectory measurements ofparameters of the towed system, which may include calculatedvalues of communication cable parameters in steadystatetowing modes, values of ground speed and towing angle,as well as measured cable length, immersion depth, andTUM heading. The paper provides a comparative analysisof various versions of computational algorithms, which allowobtaining estimates of the TUM positioning accuracy indifferent modes of stationary towing and in the presence offailures in navigation systems operation.

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