0000000001215561

AUTHOR

Huan Yang

showing 6 related works from this author

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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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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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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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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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

2021

Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to…

0301 basic medicineProgrammed cell deathSettore BIO/06AutophagosomeAutolysosome[SDV]Life Sciences [q-bio]lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Autophagy-Related ProteinsReviewComputational biology[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologySettore MED/0403 medical and health sciencesstressChaperone-mediated autophagyddc:570AutophagyLC3AnimalsHumanscancerSettore BIO/10Autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSet (psychology)Molecular Biologyvacuole.phagophore030102 biochemistry & molecular biologyvacuolebusiness.industryInterpretation (philosophy)AutophagyAutophagosomesneurodegenerationCell BiologyfluxMulticellular organismmacroautophagy030104 developmental biologyKnowledge baselysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleBiological AssayLysosomesbusinessBiomarkers[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Autophagy

2021

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide…

macroautophagy;autophagyAutophagosome[SDV]Life Sciences [q-bio]canceLC3 macroautophagyautophagosomeneurodegeneration;[SDV.BC]Life Sciences [q-bio]/Cellular BiologyAutophagy AutophagosomeNOstress vacuolestressautophagic processesstrerfluxLC3cancerguidelinesAutophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSettore BIO/06 - Anatomia Comparata E Citologia[SDV.BC] Life Sciences [q-bio]/Cellular BiologyComputingMilieux_MISCELLANEOUSMedaka oryzias latipesphagophorevacuoleQHneurodegenerationAutophagosome cancer flux LC3 lysosome macroautophagy neurodegeneration phagophore stress vacuoleautophagy; autophagic processes; guidelines; autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuolefluxmacroautophagystress.lysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSettore BIO/17 - ISTOLOGIARC
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