Search results for "Experimental technique"

showing 10 items of 227 documents

The ATLAS Data Acquisition and High Level Trigger system

2016

Journal of Instrumentation 11(06), P06008 (2016). doi:10.1088/1748-0221/11/06/P06008

High level triggerComputer sciencedata acquisitionPhysics::Instrumentation and DetectorsLarge hadron collideronline filteringTrigger Concepts and Systems (Hardware and Software)Control and Monitor Systems Online01 natural sciencesOnline farms and online filteringData acquisitionRecopilación de datos[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationMathematical PhysicsSettore FIS/01Online Farms and Online FilteringLarge Hadron ColliderControl and monitor systems onlineATLAS experimentATLASmedicine.anatomical_structureTrigger concepts and systems (hardware and software)Triggers and rulesComputer hardwareperformanceOnline farms andControl and monitor systems online; Data acquisition concepts; Online farms and online filtering; Trigger concepts and systems (hardware and software)Ciências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Data Acquisition ConceptsATLAS detector; ATLAS experiment; CERN; Large Hadron ColliderATLAS experiment610Accelerator Physics and Instrumentation530LHC ATLAS High Energy Physics TriggerAtlas (anatomy)0103 physical sciencesmedicineddc:610ElectronicsInstrumentation (computer programming)Control and monitor systems online; Data acquisition concepts; Online farms and; online filtering; Trigger concepts and systems (hardware and software)010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicsbusiness.industryData acquisition conceptsFísicaAcceleratorfysik och instrumenteringtriggerSistema en líneaData flow diagrammonitoringHigh Energy Physics::Experimentbusiness
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Challenges of the ATLAS Monte Carlo production during run 1 and beyond

2013

In this paper we will review the ATLAS Monte Carlo production setup including the different production steps involved in full and fast detector simulation. A report on the Monte Carlo production campaigns during run 1 and long shutdown 1 will be presented, including details on various performance aspects. Important improvements in the work flow and software will be highlighted. Besides standard Monte Carlo production for data analyses at 7 and 8 TeV, the production accommodates for various specialised activities. These ranges from extended Monte Carlo validation, Geant4 validation, pileup simulation using zero bias data and production for various upgrade studies. The challenges of these act…

HistoryEngineeringbusiness.industryPhysics::Instrumentation and DetectorsMonte Carlo methodDetectorGridComputer Science ApplicationsEducationReliability engineeringUpgrademedicine.anatomical_structureSoftwareAtlas (anatomy)Range (statistics)medicineProduction (economics)Detectors and Experimental TechniquesbusinessSimulation
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Performance of ATLAS tracking detector

2012

The track and vertex reconstruction algorithms of the ATLAS Inner Detector have demonstrated excellent performance in the early data from the LHC. However, the rapidly increas- ing number of interactions per bunch crossing introduces new challenges both in computational aspects and physics performance. The combination of both silicon and gas based detectors provides high precision impact parameter and momentum measurement of charged particles, with high efficiency and small fake rate. Vertex reconstruction is used to identify with high efficiency the hard scattering process and to measure the amount of pile-up interactions, both aspects are cru- cial for many physics analyses. The performan…

Large Hadron ColliderAtlas (topology)Computer scienceDetectorScattering processImpact parameterDetectors and Experimental TechniquesImage resolutionCharged particleComputational science
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An FPGA based Topological Processor Prototype for the ATLAS Level-1 Trigger Upgrade

2012

By 2014 the LHC will collide proton bunches at 14TeV with an increased instantaneous luminosity up to 3·10³⁴cm⁻²s⁻¹. The resulting higher event rate will challenge the existing ATLAS trigger system. A reduction on the trigger rate can be achieved by selecting interesting channels based on their expected decay topology and thus reducing background. This will be achieved by introducing of a new FPGA based module in the Level-1 trigger: the Topological Processor L1Topo. With L1Topo it will be possible for the first time to concentrate detailed information from the entire calorimeters and the muon detector into a single module. L1Topo will receive a total aggregate bandwidth of 1Tb/s. The data …

Large Hadron ColliderBandwidth (signal processing)TopologyLinear particle acceleratorComputer Science::Hardware ArchitectureData acquisitionBunchesUpgradePhysics::Accelerator PhysicsTransceiverDetectors and Experimental TechniquesField-programmable gate arrayInstrumentationMathematical Physics
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The ATLAS Level-1 Calorimeter Trigger: PreProcessor implementation and performance

2012

The PreProcessor system of the ATLAS Level-1 Calorimeter Trigger (L1Calo) receives about 7200 analogue signals from the electromagnetic and hadronic components of the calorimetric detector system. Lateral division results in cells which are pre-summed to so-called Trigger Towers of size 0.1 × 0.1 along azimuth (phi) and pseudorapidity (η). The received calorimeter signals represent deposits of transverse energy. The system consists of 124 individual PreProcessor modules that digitise the input signals for each LHC collision, and provide energy and timing information to the digital processors of the L1Calo system, which identify physics objects forming much of the basis for the full ATLAS fi…

Large Hadron ColliderCalorimeter (particle physics)010308 nuclear & particles physicsComputer sciencebusiness.industryPhysics::Instrumentation and DetectorsDetectorElectrical engineering01 natural scienceslaw.inventionMicroprocessormedicine.anatomical_structureAtlas (anatomy)lawPseudorapidity0103 physical sciencesmedicinePreprocessorDetectors and Experimental Techniques010306 general physicsbusinessInstrumentationMathematical PhysicsEnergy (signal processing)Computer hardware
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MuPix and ATLASPix -- Architectures and Results

2020

High Voltage Monolithic Active Pixel Sensors (HV-MAPS) are based on a commercial High Voltage CMOS process and collect charge by drift inside a reversely biased diode. HV-MAPS represent a promising technology for future pixel tracking detectors. Two recent developments are presented. The MuPix has a continuous readout and is being developed for the Mu3e experiment whereas the ATLASPix is being developed for LHC applications with a triggered readout. Both variants have a fully monolithic design including state machines, clock circuitries and serial drivers. Several prototypes and design variants were characterised in the lab and in testbeam campaigns to measure efficiencies, noise, time reso…

Large Hadron ColliderFinite-state machinePhysics - Instrumentation and DetectorsPixelComputer scienceDetectorFOS: Physical sciencesHigh voltageInstrumentation and Detectors (physics.ins-det)Tracking (particle physics)7. Clean energyNoise (electronics)Electronic engineeringDetectors and Experimental Techniquesddc:620physics.ins-detEngineering & allied operationsDiode
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Upgrade of ALICE forward detectors

2019

ALICE will upgrade its subsystems in 2019−2020 to fully benefit from the increased collision rate and luminosity of the LHC at CERN. Two new forward detectors will be installed at the core of ALICE: the Fast Interaction Trigger (FIT) and the Muon Forward Tracker (MFT). Additionally, during the shutdown between Run 3 and Run 4, there will be an opportunity to install the Forward Calorimeter (FoCal). This paper describes these new forward detectors, their physics justification and goals, selected design features along with performance of detector prototypes and simulated performance figures. peerReviewed

Large Hadron ColliderLuminosity (scattering theory)Calorimeter (particle physics)Physics::Instrumentation and DetectorsComputer sciencebusiness.industrydesign features simulated performancetutkimuslaitteetDetectorElectrical engineeringhiukkasfysiikkaUpgradePhysics::Accelerator PhysicsHigh Energy Physics::Experimentcollision rateDetectors and Experimental TechniquesALICE (propellant)businessCollision rateProceedings of The 39th International Conference on High Energy Physics — PoS(ICHEP2018)
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The Inchworm as a precision translator in a high magnetic field and UHV environment

1989

Abstract A new set-up has been designed and tested for on-line, high-precision mass measurements of short-lived radioactive isotopes via a determination of the ion cyclotron resonance. Ions delivered by the on-line isotope separator ISOLDE at CERN/Geneva are stored in a Penning trap installed in a superconducting solenoid. Due to severe space limitations in the bore of the solenoid, it is impossible to use conventional mechanical feedthroughs for the necessary manipulations inside the uhv chamber. Instead, a number of Inchworms, a high-precision positioning device based on the piezo-electric effect are employed. This publication reports on the first application of this device in a uhv envir…

Large Hadron ColliderPhysics::Instrumentation and Detectorsbusiness.industryChemistryInstrumentationSeparator (oil production)SolenoidCondensed Matter PhysicsPenning trapSurfaces Coatings and FilmsIonMagnetic fieldNuclear physicsOpticsPhysics::Accelerator PhysicsDetectors and Experimental TechniquesNuclear ExperimentbusinessInstrumentationIon cyclotron resonance
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RAPTOR : A new collinear laser ionization spectroscopy and laser-radiofrequency double-resonance experiment at the IGISOL facility

2023

RAPTOR, Resonance ionization spectroscopy And Purification Traps for Optimized spectRoscopy, is a new collinear resonance ionization spectroscopy device constructed at the Ion Guide Isotope Separator On-Line (IGISOL) facility at the University of Jyv\"askyl\"a, Finland. By operating at beam energies of under 10 keV, the footprint of the experiment is reduced compared to more traditional collinear laser spectroscopy beamlines. In addition, RAPTOR is coupled to the JYFLTRAP Penning trap mass spectrometer, opening a window to laser-assisted nuclear-state selective purification, serving not only the mass measurement program, but also supporting post-trap decay spectroscopy experiments. Finally,…

Laser resonance ionizationPhysics - Instrumentation and Detectorscollinear laser spectroscopytutkimuslaitteetFOS: Physical sciencesInstrumentation and Detectors (physics.ins-det)nucl-exexotic nucleiNuclear Physics - ExperimentIGISOLlaser resonance ionizationNuclear Experiment (nucl-ex)Detectors and Experimental TechniquesydinfysiikkaNuclear Experimentphysics.ins-detExotic nuclei
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The ATLAS Simulation Infrastructure

2010

52 páginas, 10 figuras, 18 tablas.-- This article is distributed under the terms of the Creative Commons Attribution Noncommercial License.-- et al. (The ATLAS Collaboration).

LibraryPhysics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and Detectorscomputer.software_genre01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Statistical physicsDetectors and Experimental TechniquesSimulaciónphysics.ins-detDetectors de radiació/dk/atira/pure/subjectarea/asjc/2200/2201PhysicsLarge Hadron ColliderAtlas (topology)4. EducationAcceleradors de partículesATLAS experimentDetectorSettore FIS/01 - Fisica SperimentaleInstrumentation and Detectors (physics.ins-det)ATLASGridSimulation softwareTile CalorimeterPhysical SciencesMontecarlo simulationLHCReal-time computingFOS: Physical sciencesATLAS experimentddc:500.2530High-Energy Physics0103 physical sciencesFysikddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]High Energy PhysicsMonte-Carlo010306 general physicsPartonEngineering (miscellaneous)Ciencias ExactasGEANT4EventATLAS detector010308 nuclear & particles physicsFísicaATLAS experiment; Montecarlo simulation; LHCGrid computingInterfacingHigh Energy Physics::Experiment/dk/atira/pure/subjectarea/asjc/3100/3101computer
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