Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

Acciarri, R.; Adams, C.; An, R.; Anthony, J.; Asaadi, J.; Auger, M.; Bagby, L.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Bass, M.; Bay, F.; Bishai, M.; Blake, A.; Bolton, T.; Bullard, Brendon; Camilleri, L.; Caratelli, D.; Carls, B.; Fernández, R. Castillo; Cavanna, F.; Chen, H.; Church, E.; Cianci, D.; Cohen, E.; Collin, Gabriel; Conrad, J. M.; Convery, M. R.; Crespo-Anadón, J. I.; Geronimo, G. De; Tutto, M. Del; Devitt, D.; Dytman, S. A.; Eberly, B.; Ereditato, A.; Escudero, L.; Esquivel, J.; Fadeeva, A.A.; Fleming, B. T.; Foreman, W.; Furmanski, A. P.; García-Gámez, D.; Garvey, G. T.; Genty, V.; Goeldi, D.; Gollapinni, S.; Graf, N.; Gramellini, E.; Greenlee, H.; Grosso, R.; Guénette, R.; Hackenburg, A.; Hamilton, P.; Hen, O.; Hewes, J.; Hill, Colton; Ho, Johnny C.; Horton-Smith, G. A.; Hourlier, A.; Huang, E.-C.; James, C.; Vries, J. Jan de; Jen, C. M.; Jiang, L.; Johnson, R. A.; Joshi, J.; Jöstlein, H.; Kaleko, D.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; Laube, A.; Li, S.; Li, Y.; Lister, A.; Littlejohn, B. R.; Lockwitz, S.; Lorca, D.; Louis, W. C.; Luethi, M.; Lundberg, B.; Luo, X.; Marchionni, A.; Mariani, C.; Marshall, J.; Caicedo, D. A. Martínez; Meddage, V.; Miceli, T.; Mills, G. B.; Moon, J.; Mooney, M.; Moore, C. D.; Mousseau, J.; Murrells, R.; Naples, D.; Nienaber, P.; Nowak, J.; Palamara, O.; Paolone, V.; Papavassiliou, V.; Pate, S. F.; Pavlović, Ž.; Piasetzky, E.; Porzio, D.; Pulliam, G.; Qian, X.; Raaf, J. L.; Radeka, V.; Rafique, A.; Rescia, S.; Rochester, Lynn; Rohr, C. Rudolf von; Russell, B.; Schmitz, D.; Schukraft, A.; Seligman, W.; Shaevitz, M. H.; Sinclair, J.; Smith, A.; Snider, E. L.; Soderberg, M.; Söldner-Rembold, S.; Soleti, S. R.; Spentzouris, P.; Spitz, J.; John, J. St.; Strauss, T.; Szelc, A. M.; Tagg, N.; Terao, K.; Thomson, M. A.; Thorn, C.; Toups, M.; Tsai, Y.-T.; Tufanli, S.; Usher, T.; Pontseele, W. Van De; Water, R. G. Van de; Viren, B.; Weber, M.; Wickremasinghe, D. A.; Wolbers, S.; Wongjirad, T.; Woodruff, K.; Yang, T.; Yates, L. E.; Yu, B. X.; Zeller, G. P.; Zennamo, J.; Zhang, C.

doi:10.1088/1748-0221/12/08/p08003

Cited by 101 publications

(98 citation statements)

References 23 publications

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“…In particular, much is now known from the experience operating the MicroBooNE detector since late in 2015. Significant advances have been made in TPC data analysis using MicroBooNE data, including TPC noise filtering (73), wire signal processing and deconvolution (74,75), reconstruction algorithm development (76,77,78), and the simulation of bulk properties such as the 'space charge effect', which is the distortion of the electric drift field caused by the buildup of positive ions in the LAr from the high rate of cosmic ray activity in detectors that are operated near the surface.…”

Section: Oscillation Searches and Sterile Neutrino Sensitivitymentioning

confidence: 99%

The Short-Baseline Neutrino Program at Fermilab

Machado

Palamara

Schmitz

2019

Annu. Rev. Nucl. Part. Sci.

151

139

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The Short-Baseline Neutrino, or SBN, program consists of three liquid argon time projection chamber detectors located along the Booster Neutrino Beam at the 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. Here we review these science goals and the current experimental status of SBN.

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Section: Oscillation Searches and Sterile Neutrino Sensitivitymentioning

confidence: 99%

The Short-Baseline Neutrino Program at Fermilab

Machado

Palamara

Schmitz

2019

Annu. Rev. Nucl. Part. Sci.

151

139

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“…The ProtoDUNE use case has challenging requirements for the software downstream of the FELIX readout, since it has to support the full data rate, perform trigger matching and lossless data compression. The experience from previous experiments such as MicroBooNE [9] suggests that for a sufficiently low electronics noise level, a compression factor of 4 is feasible for the ProtoDUNE-SP data. Nevertheless, generalpurpose compression algorithms are less efficient, especially if data are not reorganized prior to compression.…”

Section: Daq Software Layermentioning

confidence: 99%

FELIX-Based Readout of the Single-Phase ProtoDUNE Detector

Borga

Church

Filthaut

et al. 2019

IEEE Trans. Nucl. Sci.

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Large liquid argon (LAr) time projection chambers (TPCs) have been adopted for the Deep Underground Neutrino Experiment (DUNE) experiment's far detector, which will be composed of four 17-kton detectors situated 1.5 km underground at the Sanford Underground Research Facility. This represents a large increase in scale compared to existing experiments. Both single-and dual-phase technologies will be validated at CERN, in cryostats capable of accommodating full-size detector modules, and exposed to low-energy charged particle beams. This program, called ProtoDUNE, also allows for extensive tests of data acquisition strategies. The Front-End LInk eXchange (FELIX) readout system was initially developed within the ATLAS collaboration and is based on custom field-programmable gate array (FPGA)-based Peripheral Component Interconnect Express input/output cards, connected through point-to-point links to the detector front end and hosted in 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 (APS) structure. With a continuous readout at a sampling rate of 2 MHz, the system must deal with an input rate of 96 Gb/s. An external trigger will preselect time windows of 5 ms with interesting activity expected inside the detector. Event building will occur for triggered events, at a target rate of 25 Hz; the readout system will form fragments from the data samples matching the time window, carry out lossless compression, and forward the data to event building nodes over 10-Gb/s Ethernet. This paper discusses the design and implementation of this readout system as well as the first operational experience.

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“…Signal preparation: The bipolar and unipolar signals that come from the low-noise shaping amplifiers are first filtered with standard techniques to reduce excess noise [19] and then processed to statistically remove the induction response shape [20,21]. The end result is a normalized pulse of charge for each wire.…”

Section: Description Of Basic Principlesmentioning

confidence: 99%

Three-dimensional imaging for large LArTPCs

et al. 2018

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A: High-performance event reconstruction is critical for current and future massive liquid argon time projection chambers (LArTPCs) to realize their full scientific potential. LArTPCs with readout using wire planes provide a limited number of 2D projections. In general, without a pixeltype readout it is challenging to achieve unambiguous 3D event reconstruction. As a remedy, we present a novel 3D imaging method, Wire-Cell, which incorporates the charge and sparsity information in addition to the time and geometry through simple and robust mathematics. The resulting 3D image of ionization density provides an excellent starting point for further reconstruction and enables the true power of 3D tracking calorimetry in LArTPCs.

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Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

Cited by 101 publications

References 23 publications

The Short-Baseline Neutrino Program at Fermilab

The Short-Baseline Neutrino Program at Fermilab

FELIX-Based Readout of the Single-Phase ProtoDUNE Detector

Three-dimensional imaging for large LArTPCs

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