Search results for "real-time"

showing 10 items of 881 documents

Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

2016

To exploit the full potential of radio measurements of cosmic-ray air showers at MHz frequencies, a detector timing synchronization within 1 ns is needed. Large distributed radio detector arrays such as the Auger Engineering Radio Array (AERA) rely on timing via the Global Positioning System (GPS) for the synchronization of individual detector station clocks. Unfortunately, GPS timing is expected to have an accuracy no better than about 5 ns. In practice, in particular in AERA, the GPS clocks exhibit drifts on the order of tens of ns. We developed a technique to correct for the GPS drifts, and an independent method is used to cross-check that indeed we reach a nanosecond-scale timing accura…

Physics - Instrumentation and DetectorsAutomatic dependent surveillance-broadcastComputer scienceCiencias FísicasAstronomyDetector alignment and calibration methods (lasers sources particle-beams)Calibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors01 natural sciencesTiming detectorsSynchronizationHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Sine wave[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]InstrumentationMathematical PhysicsTransmitterDetectorSettore FIS/01 - Fisica Sperimentaleparticle-beams)Instrumentation and Detectors (physics.ins-det)Pattern recognition cluster finding calibration and fitting methodGlobal Positioning SystemComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearCIENCIAS NATURALES Y EXACTASsourcesReal-time computingFOS: Physical sciencesCalibration and fitting methodClustersPattern recognition0103 physical sciencesCalibrationHigh Energy Physics010306 general physicsCiencias ExactasCalibration and fitting methods010308 nuclear & particles physicsbusiness.industryCluster findingFísicaAstroparticles//purl.org/becyt/ford/1.3 [https]PhaserAstronomíaDetector alignment and calibration methods (lasersTiming detectorPierre AugerExperimental High Energy PhysicsRECONHECIMENTO DE PADRÕESCalibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors; Instrumentation; Mathematical PhysicsbusinessJournal of Instrumentation
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The distributed Slow Control System of the XENON100 experiment

2012

The XENON100 experiment, in operation at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy, was designed to search for evidence of dark matter interactions inside a volume of liquid xenon using a dual-phase time projection chamber. This paper describes the Slow Control System (SCS) of the experiment with emphasis on the distributed architecture as well as on its modular and expandable nature. The system software was designed according to the rules of Object-Oriented Programming and coded in Java, thus promoting code reusability and maximum flexibility during commissioning of the experiment. The SCS has been continuously monitoring the XENON100 detector since mid 2008, remotely recordi…

Physics - Instrumentation and Detectorsarchitecture[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]JavaComputer scienceReal-time computingFOS: Physical scienceschemistry.chemical_elementControl and monitor systems online; Control systems; Detector control systems (detector and experiment monitoring and slow-control systems architecture hardware algorithms databases)algorithms01 natural sciencesXenon0103 physical scienceshardwareDETECTOR CONTROL SYSTEMS[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]CONTROL SYSTEMS010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)InstrumentationMathematical Physicscomputer.programming_languageTime projection chamber010308 nuclear & particles physicsbusiness.industryControl and monitor systems onlineDetector control systems (detector and experiment monitoring and slow-control systemsEmphasis (telecommunications)Volume (computing)Instrumentation and Detectors (physics.ins-det)Modular design[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]chemistryControl systemAstrophysics - Instrumentation and Methods for Astrophysicsdatabases)businesscomputerSystem software
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The Performance of Belle II High Level Trigger in the First Physics Run

2020

The Belle II experiment is a new generation B-factory experiment at KEK in Japan aiming at the search for New Physics in a huge sample of B-meson decays. The commissioning of the accelerator and the detector for the first physics run has started from March this year. The Belle II High Level Trigger (HLT) is fully working in the beam run. The HLT is now operated with 1600 cores clusterized in 5 units, which is 1/4 of the full configuration. The software trigger is performed using the same offline reconstruction code, and events are classified into a set of physics categories. Only the events in the categories of interest are finally sent out to the storage. Live data quality monitoring is also…

PhysicsHigh level trigger010308 nuclear & particles physicsbusiness.industryPhysicsQC1-999DetectorReal-time computing01 natural sciencesSample (graphics)Set (abstract data type)Data acquisitionSoftwareData quality0103 physical sciencesReal-time data010306 general physicsbusinessEPJ Web of Conferences
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Upgrade of the ATLAS Level-1 Trigger with event topology information

2015

The Large Hadron Collider (LHC) in 2015 will collide proton beams with increased luminosity from \unit{10^{34}} up to \unit{3 \times 10^{34}cm^{-2}s^{-1}}. ATLAS is an LHC experiment designed to measure decay properties of high energetic particles produced in the protons collisions. The higher luminosity places stringent operational and physical requirements on the ATLAS Trigger in order to reduce the 40MHz collision rate to a manageable event storage rate of 1kHz while at the same time, selecting those events with valuable physics meaning. The Level-1 Trigger is the first rate-reducing step in the ATLAS Trigger, with an output rate of 100kHz and decision latency of less than 2.5$\mu s$. It…

PhysicsHistoryLuminosity (scattering theory)Large Hadron ColliderPhysics::Instrumentation and DetectorsEvent (computing)Processor designReal-time computingProcess (computing)Computer Science ApplicationsEducationmedicine.anatomical_structureUpgradeAtlas (anatomy)medicineAdvanced Telecommunications Computing ArchitectureParticle Physics - ExperimentJournal of Physics: Conference Series
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First data with the ATLAS Level-1 Calorimeter Trigger

2008

The ATLAS Level-1 Calorimeter Trigger is one of the main elements of the first stage of event selection for the ATLAS experiment at the LHC. The input stage consists of a mixed analogue/digital component taking trigger sums from the ATLAS calorimeters. The trigger logic is performed in a digital, pipelined system with several stages of processing, largely based on FPGAs, which perform programmable algorithms in parallel with a fixed latency to process about 300 Gbyte/s of input data. The real-time output consists of counts of different types of physics objects, and energy sums. The final system consists of over 300 custom-built VME modules, of several different types. The installation at AT…

PhysicsLarge Hadron ColliderIntegration testingPhysics::Instrumentation and DetectorsATLAS experimentReal-time computingSystem testingCalorimetermedicine.anatomical_structureAtlas (anatomy)medicineDetectors and Experimental TechniquesField-programmable gate arrayVMEbus
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The ATLAS level-1 trigger: Status of the system and experience from commissioning with cosmic ray muons

2007

The detector at CERN's large hadron collider (LHC) was exposed to proton-proton collisions from beams crossing at 40 MHz. A three-level trigger system will select potentially interesting events in order to reduce this rate to 100- 200 Hz. A trigger decision is made by the Level-1 central trigger processor (CTP) reducing the incoming rate to less than 100 kHz. The Level-1 decision is based on calorimeter information and hits in dedicated muon trigger detectors. The final Level-1 trigger system is currently being installed in the experiment with completion expected in autumn 2007. Cosmic ray data are regularly recorded as an increasing fraction of the trigger system comes online. We present a…

PhysicsMuonLarge Hadron ColliderCalorimeter (particle physics)Physics::Instrumentation and DetectorsReal-time computingDetectorCosmic rayNuclear physicsmedicine.anatomical_structureAtlas (anatomy)Nuclear electronicsSystems architecturemedicinePhysics::Accelerator Physics2007 IEEE Nuclear Science Symposium Conference Record
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Pre-production validation of the ATLAS level-1 calorimeter trigger system

2006

The Level-1 Calorimeter Trigger is a major part of the first stage of event selection for the ATLAS experiment at the LHC. It is a digital, pipelined system with several stages of processing, largely based on FPGAs, which perform programmable algorithms in parallel with a fixed latency to process about 300 Gbyte/s of input data. The real-time output consists of counts of different types of trigger objects and energy sums. Prototypes of all module types have been undergoing intensive testing before final production during 2005. Verification of their correct operation has been performed stand-alone and in the ATLAS test-beam at CERN. Results from these investigations will be presented, along …

PhysicsNuclear and High Energy PhysicsLarge Hadron ColliderCalorimeter (particle physics)Computer sciencePhysics::Instrumentation and Detectorsbusiness.industryReal-time computingATLAS experimentProcess (computing)Latency (audio)Calorimetermedicine.anatomical_structureBackplaneNuclear Energy and EngineeringAtlas (anatomy)Nuclear electronicsElectronic engineeringmedicineData pre-processingDetectors and Experimental TechniquesElectrical and Electronic EngineeringbusinessField-programmable gate arrayComputer hardwareIEEE Transactions on Nuclear Science
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Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data

2017

The data taken by the advanced LIGO and Virgo gravitational-wave detectors contains short duration noise transients that limit the significance of astrophysical detections and reduce the duty cycle of the instruments. As the advanced detectors are reaching sensitivity levels that allow for multiple detections of astrophysical gravitational-wave sources it is crucial to achieve a fast and accurate characterization of non-astrophysical transient noise shortly after it occurs in the detectors. Previously we presented three methods for the classification of transient noise sources. They are Principal Component Analysis for Transients (PCAT), Principal Component LALInference Burst (PC-LIB) and W…

PhysicsPhysics and Astronomy (miscellaneous)010308 nuclear & particles physicsGravitational waveReal-time computingDetectorFOS: Physical sciences01 natural sciencesLIGONoiseTransient noiseWaveletDuty cycle0103 physical sciencesSensitivity (control systems)010306 general physicsAstrophysics - Instrumentation and Methods for AstrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)
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PCR for the detection of pathogens in neonatal early onset sepsis.

2020

Background A large proportion of neonates are treated for presumed bacterial sepsis with broad spectrum antibiotics even though their blood cultures subsequently show no growth. This study aimed to investigate PCR-based methods to identify pathogens not detected by conventional culture. Methods Whole blood samples of 208 neonates with suspected early onset sepsis were tested using a panel of multiplexed bacterial PCRs targeting Streptococcus pneumoniae, Streptococcus agalactiae (GBS), Staphylococcus aureus, Streptococcus pyogenes (GAS), Enterobacteriaceae, Enterococcus faecalis, Enterococcus faecium, Ureaplasma parvum, Ureaplasma urealyticum, Mycoplasma hominis and Mycoplasma genitalium, a …

PhysiologyArtificial Gene Amplification and ExtensionPathology and Laboratory Medicinemedicine.disease_causePolymerase Chain ReactionUreaplasmaUreaplasmaMycoplasma0302 clinical medicineAntibioticsRNA Ribosomal 16SMedicine and Health Sciences030212 general & internal medicineAge of OnsetCandidaMultidisciplinaryNeonatal sepsisAntimicrobialsQCandidiasisRDrugsPneumococcusBacterial InfectionsBacterial PathogensBody FluidsBloodMedical MicrobiologyInfant Extremely PrematureMedicinePathogensNeonatal SepsisAnatomyInfant PrematureResearch ArticleStaphylococcus aureusScienceMycoplasma hominisBiologyResearch and Analysis MethodsReal-Time Polymerase Chain ReactionMicrobiologyDNA RibosomalSensitivity and SpecificityMicrobiology03 medical and health sciencesSigns and SymptomsEnterobacteriaceaeDiagnostic MedicineSepsisMicrobial Control030225 pediatricsStreptococcus pneumoniaemedicineHumansMolecular Biology TechniquesMicrobial PathogensMolecular BiologyPharmacologyBacteriaOrganismsInfant NewbornBiology and Life SciencesNeonatesStreptococcusMycoplasmamedicine.diseasebiology.organism_classificationEarly DiagnosisStreptococcus agalactiaeMultiplex Polymerase Chain ReactionEnterococcusDevelopmental BiologyUreaplasma urealyticumEnterococcus faecium
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Real-time low level feature extraction for on-board robot vision systems

2006

Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all sensory computation is delegated to remote machines. Emerging gigascale integration technologies offer the opportunity to explore alternative computing architectures that can deliver a significant boost to on-board computing when implemented in embedded, reconfigurable devices. This paper explores the mapping of low level feature extraction on one such architecture, the Georgia Tech SIMD Pixel Processor (SIMPil). The Fast Boundary Web Extraction (fBWE) algorithm is adapted and mapped on SIMPil as a fixed-point, data parallel imple…

PixelComputer sciencebusiness.industryComputationvision systems real-timeFeature extractionNull (SQL)Computer architectureEmbedded systemRobotSIMDArchitectureUnconventional computingbusiness
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