激波管风洞中锥模型静、动稳定性导数的测量

利用激波管风洞来开展高超声速气动力学的实验研究,国内外都已进行了大量的工作。但是由于它的工作时间极短,给测试技术带来一定的困难,所以对于飞行器的稳定性研究却只限于静稳定性方面。事实上,飞行器再人大气层后的振动运动形态直接关系到气动载荷和气动加热情况,因而动稳定特性的研究同样是一个令人十分关心的问题。

一种轻模型转动惯量测定仪

转动惯量是物体的一种物理属性。如同质量与线性运动加速度的关系一样,它是物体对角运动加速度的惯性的一种度量。因此,无论从已知外力、外力矩来确定物体运动,或是由物体的运动规律来求得施于它们的外力时,都必须确切知道该物体的转动惯量。在空气动力

在高超声速脉冲型风洞中测量静、动稳定性导数的模型自由飞方法

再入弹头落地时的动导数,以及有升力面的再入飞行器在高超声速情况下的动稳定特性,是高超声速飞行器设计师们所关心的问题之一。而研究这一课题的必要途径之一,则是地面模拟试验。 一般来说,动稳定性的地面模拟试验方法基本上可分为两大类:一类是模型有约束的;另一类则是模型自由飞。由于支承干扰往往产生难以完全排除的明显影响,模型

风洞中自由飞模型气动特性参数的辨识

对高超音速脉冲型风洞中Ma=10条件下10°尖锥模型的自由飞角运动记录进行气动参数的辨识。分别以通用的三周期法和参数微分法辨识获得俯仰平面的静、动稳定性导数。同时讨论和比较了两种辨识方法的有效性,结果表明:虽然原始角运动周期数较少,但只要有足够数量和足够精度的原始数据,两种方法均给出一致的静、动气动稳定性参数,而当考虑动压变化或非线性气动特性时,以参数微分法为优。此外还以数值模拟的方法讨论了数据点数。周期数以及原始数据测读误差对辨识结果的影响,与误差理论分析结果所得结论一致

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

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

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