5 research outputs found

    新PCI生物测量仪的重复性、再现性和一致性

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    目的评估基于部分相干干涉测量原理的新型眼生物测量仪Myopia Master用于测量眼轴、角膜曲率的重复性和再现性,比较其与IOL Master 500的一致性。方法同一名操作者随机先后顺序使用新型眼球生物测量仪Myopia Master和IOL Master 500采集屈光不正儿童右眼数据,以评估两仪器间一致性。其中部分儿童接受了Myopia Master重复性、再现性评估。数据包括眼轴(AL)、平坦角膜曲率(Kf)、陡峭角膜曲率(Ks)、平均角膜曲率(Km)、J0、J45。结果136人纳入一致性研究,其中58人纳入重复性和再现性研究。Myopia Master在AL测量中显示出高重复性、再现性(重复性Sw=0.02 mm, ICC=0.999;再现性Sw=0.04 mm, ICC=0.998),在角膜曲率测量显示中等的重复性[Sw范围:(0.04~0.12) D,ICC:(0.861~0.991)]和再现性[Sw范围:(0.06~0.20)D,ICC范围:(0.835~0.992)]。Myopia Master与IOL Master 500测量平均差异为AL(-0.01±0.04)mm、Kf(-0.09±0.15)D、Ks(-0.47±0.40)D、Km(-0.28±0.23)D、 J0(0.18±0.20)D和J45(-0.01±0.12)D。结论在儿童近视筛查中AL和角膜曲率测量中显示出高重复性和再现性,但临床上AL和角膜曲率在Myopia Master和IOL Master 500之间不可互换使用

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    Prediction of Energy Resolution in the JUNO Experiment

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    International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors
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