5 research outputs found

    一种高耐温性氧化铁黄颜料的制备方法

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    本发明涉及一种高耐温性氧化铁黄颜料的制备方法,包括以下步骤:将氧化铁黄初品溶于水配制成质量分数为5%~40%的浆料,制备水悬浮液;向水悬浮液中加入硅酸钠水溶液,在30℃~90℃和pH值为7~10条件下反应包覆二氧化硅;然后加入磷化合物水溶液和铝盐水溶液,在30℃~90℃和pH值为5~9条件下反应包覆磷酸铝化合物;继续加入铝盐水溶液,保持pH值为4~10,在30℃~90℃下反应包覆氢氧化铝;将得到的氧化铁黄,过滤、洗涤、干燥、气流粉碎和有机处理,得到高耐温性氧化铁黄颜料。本发明的制备方法可控性好、可操作性强,易于工业化生产,并且制备得到氧化铁黄颜料具有高耐温、高抗色变性和优良的分散性等优点

    Amplitude analysis of the decays D0π+ππ+πD^0\rightarrow\pi^+\pi^-\pi^+\pi^- and D0π+ππ0π0D^0\rightarrow\pi^+\pi^-\pi^0\pi0

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    Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024*

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    Determination of the number of ψ(3686) events taken at BESIII

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    The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

    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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