0000000000634587

AUTHOR

Marco Bellato

showing 13 related works from this author

Nanoseconds Timing System Based on IEEE 1588 FPGA Implementation

2019

Clock synchronization procedures are mandatory in most physical experiments where event fragments are readout by spatially dislocated sensors and must be glued together to reconstruct key parameters (e.g. energy, interaction vertex etc.) of the process under investigation. These distributed data readout topologies rely on an accurate time information available at the frontend, where raw data are acquired and tagged with a precise timestamp prior to data buffering and central data collecting. This makes the network complexity and latency, between frontend and backend electronics, negligible within upper bounds imposed by the frontend data buffer capability. The proposed research work describ…

EthernetFOS: Computer and information sciencesNuclear and High Energy PhysicsEye diagram; field-programmable gate arrays (FPGAs); front-end electronics; hardware; synchronization; timing systemfront-end electronicEye diagramtiming systemSerial communicationData bufferNetwork topology01 natural sciencesClock synchronizationNOComputer Science - Networking and Internet ArchitecturePE2_20103 physical sciencesSynchronization (computer science)hardwareElectrical and Electronic EngineeringNetworking and Internet Architecture (cs.NI)010308 nuclear & particles physicsbusiness.industrySettore FIS/01 - Fisica Sperimentalefront-end electronicsNuclear Energy and Engineeringfield-programmable gate arrays (FPGAs)Precision Time ProtocolbusinesssynchronizationComputer hardwareData link layer
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Isospin Character of Low-Lying Pygmy Dipole States inPb208via Inelastic Scattering ofO17Ions

2014

The properties of pygmy dipole states in Pb-208 were investigated using the Pb-208(O-17, O-17'gamma) reaction at 340 MeV and measuring the gamma decay with high resolution with the AGATA demonstrator array. Cross sections and angular distributions of the emitted gamma rays and of the scattered particles were measured. The results are compared with (gamma, gamma') and (p, p') data. The data analysis with the distorted wave Born approximation approach gives a good description of the elastic scattering and of the inelastic excitation of the 2(+) and 3(-) states. For the dipole transitions a form factor obtained by folding a microscopically calculated transition density was used for the first t…

PhysicsElastic scatteringDipoleAstrophysics::High Energy Astrophysical PhenomenaIsospinIsoscalarGamma rayGeneral Physics and AstronomyAGATABorn approximationAtomic physicsInelastic scattering7. Clean energyPhysical Review Letters
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The GALILEO γ-ray array at the Legnaro National Laboratories

2021

Abstract GALILEO, a new 4 π high-resolution γ -detection array, based on HPGe detectors, has been developed and installed at the Legnaro National Laboratories. The GALILEO array greatly benefits from a fully-digital read-out chain, customized DAQ, and a variety of complementary detectors to improve the resolving power by the detection of particles, ions or high-energy γ -ray transitions. In this work, a full description of the array, including electronics and DAQ, is presented together with its complementary instrumentation.

PhysicsNuclear and High Energy PhysicsSiliconbusiness.industryInstrumentationHigh-resolution γ-ray spectroscopyDetectorNeutronDAQ; Electronics; High-resolution γ-ray spectroscopy; HPGe; Neutron; SiliconSemiconductor detectorDAQOpticsData acquisitionElectronicsGalileo (vibration training)ElectronicsbusinessHpge detectorHPGeInstrumentation
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Calibration strategy of the JUNO experiment

2021

We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multiple-source and multiple-positional calibration program, in combination with a novel dual calorimetry technique exploiting two independent photosensors and readout systems, we demonstrate that the JUNO central detector can achieve a better than 1% energy linearity and a 3% effective energy resolution, required by the neutrino mass ordering determination. [Figure not available: see fulltext.]

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and Detectorsmeasurement methodsscintillation counter: liquidenergy resolutionFOS: Physical sciencesPhotodetectorScintillator53001 natural sciencesNOHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)hal-03022811PE2_2Optics0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Calibrationlcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsAstrophysiqueJiangmen Underground Neutrino ObservatoryPhysicsJUNOliquid [scintillation counter]010308 nuclear & particles physicsbusiness.industrySettore FIS/01 - Fisica SperimentaleDetectorAstrophysics::Instrumentation and Methods for AstrophysicsLinearityInstrumentation and Detectors (physics.ins-det)calibrationNeutrino Detectors and Telescopes (experiments)lcsh:QC770-798High Energy Physics::ExperimentNeutrinobusinessEnergy (signal processing)Journal of High Energy Physics
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Charge reconstruction in large-area photomultipliers

2018

Large-area PhotoMultiplier Tubes (PMT) allow to efficiently instrument Liquid Scintillator (LS) neutrino detectors, where large target masses are pivotal to compensate for neutrinos' extremely elusive nature. Depending on the detector light yield, several scintillation photons stemming from the same neutrino interaction are likely to hit a single PMT in a few tens/hundreds of nanoseconds, resulting in several photoelectrons (PEs) to pile-up at the PMT anode. In such scenario, the signal generated by each PE is entangled to the others, and an accurate PMT charge reconstruction becomes challenging. This manuscript describes an experimental method able to address the PMT charge reconstruction …

PhotomultiplierLiquid detectorsvisible and IR photons (vacuum) (photomultipliers HPDs others)Physics - Instrumentation and Detectorsgas and liquid scintillators)Physics::Instrumentation and DetectorsPhoton detectors for UV visible and IR photons (vacuum) (photomultipliers HPDs others)FOS: Physical sciencesvisible and IR photons (vacuum) (photomultipliers HPDsScintillatorvisible and IR photons (vacuum) (photomultipliers01 natural sciencesParticle detectorNOsymbols.namesakeOptics0103 physical sciencesCalorimeter methods010306 general physicsInstrumentationPhoton detectors for UVMathematical PhysicsPhysicsscintillation and light emission processes (solid gas and liquid scintillators)010308 nuclear & particles physicsbusiness.industrySettore FIS/01 - Fisica SperimentaleWiener filterDetectorReconstruction algorithmScintillators scintillation and light emission processes (solid gas and liquid scintillators)Instrumentation and Detectors (physics.ins-det)Scintillatorscintillation and light emission processes (solidCalorimeter methods; Liquid detectors; Photon detectors for UV visible and IR photons (vacuum) (photomultipliers HPDs others); Scintillators scintillation and light emission processes (solid gas and liquid scintillators)Photon detectors for UV visible and IR photons (vacuum) (photomultipliers HPDs others)Neutrino detectorHPDsCalorimeter methodScintillatorsScintillators scintillation and light emission processes (solid gas and liquid scintillators)symbolsLiquid detectorCalorimeter methods; Liquid detectors; Photon detectors for UV visible and IR photons (vacuum) (photomultipliers HPDs others); Scintillators scintillation and light emission processes (solid gas and liquid scintillators)Deconvolutionbusinessothers)scintillation and light emission processes (solid gas and liquid scintillators)
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Pygmy dipole resonance in 124Sn populated by inelastic scattering of 17O

2014

L. Pellegri et al. ; 5 pags. ; 6 figs. ; open access article under the CC BY license. Funded by SCOAP3

Elastic scatteringPhysicsNuclear and High Energy Physics010308 nuclear & particles physicsAstrophysics::High Energy Astrophysical PhenomenaIsoscalarGamma rayInelastic scattering01 natural sciences7. Clean energyResonance (particle physics)lcsh:QC1-999Isospin characterLow-lying electric dipole excitationsIonNuclear physicsDipoleLow-lying electric dipole excitations 124Sn0103 physical sciencesAGATAAtomic physics010306 general physics124Snlcsh:PhysicsPhysics Letters B
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Radioactivity control strategy for the JUNO detector

2021

JUNO is a massive liquid scintillator detector with a primary scientific goal of determining the neutrino mass ordering by studying the oscillated anti-neutrino flux coming from two nuclear power plants at 53 km distance. The expected signal anti-neutrino interaction rate is only 60 counts per day, therefore a careful control of the background sources due to radioactivity is critical. In particular, natural radioactivity present in all materials and in the environment represents a serious issue that could impair the sensitivity of the experiment if appropriate countermeasures were not foreseen. In this paper we discuss the background reduction strategies undertaken by the JUNO collaboration…

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsNuclear engineeringMonte Carlo methodControl (management)measurement methodsFOS: Physical sciencesQC770-798Scintillator7. Clean energy01 natural sciencesNOPE2_2Nuclear and particle physics. Atomic energy. Radioactivity0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]ddc:530Sensitivity (control systems)010306 general physicsPhysicsJUNOliquid [scintillation counter]010308 nuclear & particles physicsbusiness.industryDetectorSettore FIS/01 - Fisica Sperimentaleradioactivity [background]suppression [background]Instrumentation and Detectors (physics.ins-det)Monte Carlo [numerical calculations]Nuclear powerthreshold [energy]sensitivityNeutrino Detectors and Telescopes (experiments)GEANTNeutrinobusinessEnergy (signal processing)
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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Fully digital FPGA-based Front-End Electronics for the GALILEO array

2014

In this work we present the fully digital Front End Electronics (FEE) read out system developed for the GALILEO array. The system, developed in collaboration with the Advanced Gamma Tracking Array (AGATA) collaboration, is composed of three main blocks: preamplifiers, digitizers and preprocessing electronics. The slow control system contains a custom Linux driver, a dynamic library and a server implementing network services. The digital processing of the data from the GALILEO germanium detectors has demonstrated the capability to achieve an energy resolution of 1.53‰ at an energy of 1.33 MeV.

Engineeringbusiness.industryPreamplifierControl systemServerDetectorElectrical engineeringAGATAElectronicsGalileo (vibration training)businessField-programmable gate array2014 19th IEEE-NPSS Real Time Conference
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Study of the γ decay of high-lying states in 208Pb via inelastic scattering of 17O ions

2014

A measurement of the high-lying states in 208Pb has been made using 17O beams at 20 MeV/u. The gamma decay following inelastic excitation was measured with the detector system AGATA Demonstrator based on segmented HPGe detectors, coupled to an array of large volume LaBr3:Ce scintillators and to an array of Si detectors. Preliminary results in comparison with (γ,γ’) data, for states in the 5-8 MeV energy interval, are presented.

PhysicsScatteringPhysics::Instrumentation and DetectorsPhysicsQC1-999Gamma rayInelastic scatteringParticle detectorSemiconductor detectorIonNuclear physicsPhysics and Astronomy (all)AGATAHigh Energy Physics::ExperimentNuclear ExperimentRadioactive decayEPJ Web of Conferences
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AGATA-Advanced GAmma Tracking Array

2012

WOS: 000300864200005

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPulse-shape and gamma-ray tracking algorithmsFOS: Physical sciencesSemiconductor detector performance and simulationsIntegrated circuit[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Tracking (particle physics)gamma-Ray tracking01 natural sciencesPulse-shape and γ-ray tracking algorithmslaw.inventionData acquisitionlaw0103 physical sciencesddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Nuclear Experiment (nucl-ex)010306 general physicsγ-Ray spectroscopyNuclear ExperimentInstrumentationDigital signal processingEvent reconstructiongamma-Ray spectroscopyPhysicssezeleSpectrometerSpectrometers010308 nuclear & particles physicsbusiness.industryDetectorAGATA Digital signals HPGe detectors Pulse-shape Ray trackingHPGe detectorsAlgorithms Crystals Germanium Semiconductor detectors Signal processing Spectrometry Tracking (position)γ-Ray trackingInstrumentation and Detectors (physics.ins-det)Digital signal processingAGATAFísica nuclearbusinessAGATAComputer hardware
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The Design and Sensitivity of JUNO's scintillator radiopurity pre-detector OSIRIS

2021

The European physical journal / C 81(11), 973 (2021). doi:10.1140/epjc/s10052-021-09544-4

Liquid scintillatorPhysics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and Detectorsscintillation counter: liquidmeasurement methodsQC770-798Astrophysics01 natural sciencesthorium: nuclidedesign [detector]neutrinoRadioactive purityPhysicsLow energy neutrinoJUNOliquid [scintillation counter]biologySettore FIS/01 - Fisica SperimentaleDetectorInstrumentation and Detectors (physics.ins-det)3. Good healthQB460-466Physics::Space Physicsnuclide [uranium]FOS: Physical sciencesScintillatornuclide [thorium]530NONuclear physicsPE2_2uranium: nuclideNuclear and particle physics. Atomic energy. Radioactivity0103 physical sciencesddc:530Sensitivity (control systems)[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsJUNO neutrino physics liquid scintillatorEngineering (miscellaneous)background: radioactivitydetector: designMeasurement method010308 nuclear & particles physicsradioactivity [background]biology.organism_classificationsensitivityHigh Energy Physics::ExperimentReactor neutrinoOsiris
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JUNO sensitivity to low energy atmospheric neutrino spectra

2021

Atmospheric neutrinos are one of the most relevant natural neutrino sources that can be exploited to infer properties about cosmic rays and neutrino oscillations. The Jiangmen Underground Neutrino Observatory (JUNO) experiment, a 20 kton liquid scintillator detector with excellent energy resolution is currently under construction in China. JUNO will be able to detect several atmospheric neutrinos per day given the large volume. A study on the JUNO detection and reconstruction capabilities of atmospheric $\nu_e$ and $\nu_\mu$ fluxes is presented in this paper. In this study, a sample of atmospheric neutrino Monte Carlo events has been generated, starting from theoretical models, and then pro…

Physics and Astronomy (miscellaneous)Physics::Instrumentation and Detectorsscintillation counter: liquidenergy resolutionAtmospheric neutrinoQC770-798Astrophysics7. Clean energy01 natural sciencesneutrino: fluxHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)particle source [neutrino]neutrinoneutrino: atmosphere[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Cherenkovneutrino/e: particle identificationenergy: low [neutrino]Jiangmen Underground Neutrino ObservatoryPhysicsJUNOphotomultiplierliquid [scintillation counter]primary [neutrino]neutrino: energy spectrumDetectoroscillation [neutrino]neutrinosMonte Carlo [numerical calculations]atmosphere [neutrino]QB460-466observatorycosmic radiationComputer Science::Mathematical Softwareproposed experimentNeutrinonumerical calculations: Monte CarloComputer Science::Machine LearningParticle physicsdata analysis methodAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayScintillatorComputer Science::Digital LibrariesNOStatistics::Machine LearningPE2_2neutrino: primaryneutrino: spectrumNuclear and particle physics. Atomic energy. Radioactivity0103 physical sciencesddc:530structure010306 general physicsNeutrino oscillationEngineering (miscellaneous)Cherenkov radiationparticle identification [neutrino/mu]Scintillationneutrino/mu: particle identificationflavordetectorparticle identification [neutrino/e]010308 nuclear & particles physicsneutrino: energy: lowHigh Energy Physics::Phenomenologyspectrum [neutrino]resolutionenergy spectrum [neutrino]flux [neutrino]neutrino: particle source13. Climate actionHigh Energy Physics::Experimentneutrino: oscillationneutrino detector
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