0000000000903615

AUTHOR

Andrea Fabbri

showing 14 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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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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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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Lactitol in treatment of chronic hepatic encephalopathy. A meta-analysis.

1993

The efficacy and side effects of lactitol in the treatment of chronic hepatic encephalopathy was compared to that of other disaccharides in a meta-analysis of published randomized clinical trials (RCTs). The outcomes assessed were: (1) the rate of patients free from episodes of clinically detectable encephalopathy, and (2) the rate of patients free from one or more side effects in the different treatment groups. Four RCTs were eligible for analysis; in three lactitol was compared to lactulose, in one the alternative treatment was lactose in lactase-deficient patients. The methodological quality of these studies was high. Meta-analysis showed that lactitol was as effective as other disacchar…

medicine.medical_specialtyLactitolPhysiologyEncephalopathyGastroenterologylaw.inventionLactulosechemistry.chemical_compoundSugar AlcoholsRandomized controlled triallawInternal medicinemedicineHumansChronic EncephalopathyHepatic encephalopathybusiness.industryGastroenterologyOdds ratiomedicine.diseaseLactuloseSurgeryTreatment OutcomechemistryMeta-analysisHepatic EncephalopathyChronic Diseasebusinessmedicine.drugDigestive diseases and sciences
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Morphological and anatomical observations of abnormal somatic embryos from anther cultures of Citrus reticulata

2010

A morphological and anatomical study of regenerants obtained from mandarin anther culture was carried out. Beside morphologically normal somatic embryos, abnormal structures were originated in the course of somatic embryogenesis. Anatomical anomalies can be found at several growth stages, causing the formation of slender stems, stubby structures, non-functional leaves. When too long, some structures are subject to shedding, with the formation of various abscission zones. Most of them are subject to degeneration, although many are capable of further, localized, morphogenesis. A thorough knowledge of morphology and anatomy of normal and abnormal regenerants could make possible to select and s…

Tissue cultureAbscissionSomatic embryogenesisEmbryogenesisMorphogenesisStamenEmbryoPlant ScienceAnatomySubculture (biology)HorticultureBiologyBiologia plantarum
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Distillation and stripping pilot plants for the JUNO neutrino detector: Design, operations and reliability

2019

Abstract This paper describes the design, construction principles and operations of the distillation and stripping pilot plants tested at the Daya Bay Neutrino Laboratory, with the perspective to adapt these processes, system cleanliness and leak-tightness standards to the final full scale plants to be used for the purification of the liquid scintillator of the JUNO neutrino detector. The main goal of these plants is to remove radio impurities from the liquid scintillator while increasing its optical attenuation length. Purification of liquid scintillator will be performed with a system combining alumina oxide, distillation, water extraction and steam (or N 2 gas) stripping. Such a combined…

Large-scale experimentNuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsLiquid scintillatorAttenuation length; LAB; Large-scale experiments; Light yield; Liquid scintillator; Nitrogen purging; Radiopurity; Scintillator transparency; Nuclear and High Energy Physics; Instrumentationscintillation counter: liquidMixing (process engineering)Full scaleFOS: Physical sciencesRadiopurityfabricationScintillator01 natural sciences7. Clean energyStripping (fiber)law.inventionNOlaw0103 physical sciencesthorium: admixtureAttenuation length; LAB; Large-scale experiments; Light yield; Liquid scintillator; Nitrogen purging; Radiopurity; Scintillator transparency[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsProcess engineeringDistillationInstrumentationbackground: radioactivityNuclear and High Energy PhysicPhysicsLABJUNOLarge-scale experiments010308 nuclear & particles physicsbusiness.industryuranium: admixtureSettore FIS/01 - Fisica SperimentaleAttenuation lengthInstrumentation and Detectors (physics.ins-det)Attenuation lengthNitrogen purgingNeutrino detectorScintillator transparencyNeutrinobusinessaluminum: oxygenLight yield
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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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Drug Prescription and Delirium in Older Inpatients: Results From the Nationwide Multicenter Italian Delirium Day 2015-2016

2019

Objective This study aimed to evaluate the association between polypharmacy and delirium, the association of specific drug categories with delirium, and the differences in drug-delirium association between medical and surgical units and according to dementia diagnosis. Methods Data were collected during 2 waves of Delirium Day, a multicenter delirium prevalence study including patients (aged 65 years or older) admitted to acute and long-term care wards in Italy (2015-2016); in this study, only patients enrolled in acute hospital wards were selected (n = 4,133). Delirium was assessed according to score on the 4 "A's" Test. Prescriptions were classified by main drug categories; polypharmacy w…

Malediagnosismedications0302 clinical medicinepreventionAged 80 and over; Delirium; Drug Prescriptions; Female; Hospital Departments; Humans; Male; Prevalence; Polypharmacy; Prescription Drugs80 and overPrevalenceMedicineLS4_4030212 general & internal medicineAcute hospitalmedia_commonAged 80 and overConfoundingelderly patients hip fracture hospitalized patients prediction rule risk factor dementia events medications prevention diagnosisrisk-factorrisk factorhip fracturePsychiatry and Mental HealthFemalemedicine.symptomeventsDrugmedicine.medical_specialtyPrescription Drugshospitalized-patientsmedia_common.quotation_subjectMEDLINEHospital DepartmentsSocio-culturaleelderly-patientselderly patientsbehavioral disciplines and activitiesDrug Prescriptions03 medical and health sciencesInternal medicinemental disordersDementiaHumansMedical prescriptionprediction ruleAgedPolypharmacybusiness.industryhospitalized patientsDeliriummedicine.diseasenervous system diseasesPolypharmacyDeliriumelderly-patients; hip fracture; hospitalized-patients; prediction rule; risk-factor; dementia; events; medications; prevention; diagnosisbusiness030217 neurology & neurosurgerydementia
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"Delirium Day": a nationwide point prevalence study of delirium in older hospitalized patients using an easy standardized diagnostic tool

2016

Background To date, delirium prevalence in adult acute hospital populations has been estimated generally from pooled findings of single-center studies and/or among specific patient populations. Furthermore, the number of participants in these studies has not exceeded a few hundred. To overcome these limitations, we have determined, in a multicenter study, the prevalence of delirium over a single day among a large population of patients admitted to acute and rehabilitation hospital wards in Italy. Methods This is a point prevalence study (called “Delirium Day”) including 1867 older patients (aged 65 years or more) across 108 acute and 12 rehabilitation wards in Italian hospitals. Delirium wa…

MaleCross-sectional studyHospitalized patientsPrevalence0302 clinical medicineSurveys and Questionnaires80 and overOdds RatioPrevalenceMedicine030212 general & internal medicineProspective StudiesProspective cohort studyMulticenterAcute hospital2. Zero hungerAged 80 and overMedicine(all)Medicine (all)Settore BIO/14General Medicine3. Good health4AT; Delirium; Hospital; Multicenter; Prevalence; Aged; Aged 80 and over; Cross-Sectional Studies; Delirium; Female; Humans; Inpatients; Italy; Logistic Models; Male; Odds Ratio; Prevalence; Prospective Studies; Surveys and QuestionnairesItalyFemalemedicine.symptomResearch ArticleRehabilitation hospitalmedicine.medical_specialty4AT; Delirium; Hospital; Multicenter; Prevalence; Aged; Aged 80 and over; Cross-Sectional Studies; Delirium; Female; Humans; Inpatients; Italy; Logistic Models; Male; Odds Ratio; Prevalence; Prospective Studies; Surveys and Questionnaires; Medicine (all)NO03 medical and health sciencesHospital4AT Delirium Hospital Multicenter Prevalence Aged Aged 80 and over Cross-Sectional Studies Delirium Female Humans Inpatients Italy Logistic Models Male Odds Ratio Prevalence Prospective Studies Surveys and Questionnairesmental disordersHumans4ATPsychiatry4AT; Delirium; Hospital; Multicenter; Prevalence;AgedInpatientsbusiness.industryDeliriumOdds ratio4AT; Delirium; Hospital; Multicenter; Prevalence; Medicine (all)Cross-Sectional StudiesLogistic ModelsEmergency medicineDeliriumDelirium; Prevalence; Hospital; Multicenter; 4ATbusiness030217 neurology & neurosurgery
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Additional file 1 of Resuscitative endovascular balloon occlusion of the aorta (REBOA) in patients with major trauma and uncontrolled haemorrhagic sh…

2021

Additional file 1.

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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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Additional file 1 of Accuracy of pre-hospital triage tools for major trauma: a systematic review with meta-analysis and net clinical benefit

2021

Additional file 1: Supplement A. Search strategies. Supplement B. Characteristics of included studies. Supplement C. Accuracy data of pre-hospital tools. Supplement D. Net clinical benefit curves. Supplement E. Quality assessment QUADAS 2. Supplement F. Summary of findings tables.

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