δ掺杂硅n-i-p-i结构多量子阱吸收边的漂移

该文报告了在δ掺杂硅n-i-p-i结构多量子阱中使用光电流技术观测到吸收边的场驱动蓝移，它不同于在GaAs和GeSi超晶格中观察到的结果。这个新现象能够被载流子注入引起有效带隙的展宽所解释。基于有效质量近似，计算了自洽势和有效带隙随额外载流子浓度的变化，理论结果证实了实验结果的正确性

中国海草的“藻”名更改

海草(Seagrasses)是地球上可完全生活在海水中的被子植物,是由陆地植物演化到适应海洋环境的高等植物。然而,高等植物海草在中国经常被冠以低等植物"藻"的名称。中国海草现有22种,隶属于4科10属,其中科名、属名和种名分别有3科、7属和16种是以"藻"命名的,易让人们把海草误以为是海藻(Seaweed),造成混乱,同时给中国海草的研究、保护和利用带来不利影响。值此"第十一次国际海草生物学研讨会"(The 11th International Seagrass Biology Workshop)首次在中国举行之际,国内众多的海草研究专家得以共聚,有机会共同探讨中国海草的"藻"名更改。经过研讨..

THE NOMENCLATURE OF THE “ALGAE” NAME OF SEAGRASSES IN CHINA

海草(Seagrasses)是地球上可完全生活在海水中的被子植物,是由陆地植物演化到适应海洋环境的高等植物。然而,高等植物海草在中国经常被冠以低等植物"藻"的名称。中国海草现有22种,隶属于4科10属,其中科名、属名和种名分别有3科、7属和16种是以"藻"命名的,易让人们把海草误以为是海藻(Seaweed),造成混乱,同时给中国海草的研究、保护和利用带来不利影响。值此"第十一次国际海草生物学研讨会"(The 11th International Seagrass Biology Workshop)首次在中国举行之际,国内众多的海草研究专家得以共聚,有机会共同探讨中国海草的"藻"名更改。经过研讨..

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

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

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