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Small-scale sectorial perturbation modes against the background of a pulsating model of disk-like self-gravitating systems 盘状自引力系统脉动模型背景下的小尺度扇形摄动模式
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0011
Jakhongirbek Ganiev, S. Nuritdinov
Abstract In this work, we consider small-scale sectorial perturbation modes in a disk-like model of a radially nonstationary spiral galaxy in order to study the gravitational instabilities of these modes. Calculations of horizontal sectorial small-scale perturbation modes, such as ( m ; N ) = ( 10 ; 10 ) left(m;hspace{0.33em}N)=left(10;hspace{0.33em}10) , (11; 11), (12; 12), (13; 13), (14; 14), and (15; 15), against the background of a nonlinearly nonequilibrium anisotropic model of the self-gravitating disk have been carried out. For each of these perturbation modes, critical diagrams are plotted between the virial parameter and the degree of rotation. The growth rates of instability are calculated and compared for different values of the rotation parameter. The results of calculations and comparisons of instability regions show that with an increase in the degree of small scale, the instability region narrows as the wave numbers increase.
摘要在这项工作中,我们考虑了径向非平稳螺旋星系盘状模型中的小尺度扇形扰动模式,以研究这些模式的引力不稳定性。水平扇形小扰动模式的计算,如(m;N)=(10;10)left(m;space{0.33em}N)=left(10;hspace{0.33em}10),(11;11),(12;12),(13;13),(14;14)和(15;15),在自引力盘的非线性非平衡各向异性模型的背景下进行。对于这些扰动模式中的每一种,都绘制了维里参数和旋转度之间的临界图。针对旋转参数的不同值,计算并比较了不稳定性的增长率。不稳定区的计算和比较结果表明,随着小尺度程度的增加,不稳定区随着波数的增加而变窄。
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引用次数: 1
Can local inhomogeneity of the Universe explain the accelerating expansion? 宇宙的局部不均匀性能解释加速膨胀吗?
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0003
Sobir Turaev, S. Nuritdinov
Abstract This paper discusses the disordering of the principle of cosmology on a small scale, i.e. the possibility of interpreting the observational data of type Ia Supernovae (SNe Ia) through the inhomogeneity and anisotropy of the Universe. The expansion of the Universe may appear to be accelerating due to “dark flows”, changes in the wavelength of light passing through “voids” and clusters, or anisotropy. Different sets of cosmological data are also considered without the need for a dark energy component.
摘要在小尺度上讨论了宇宙学原理的无序性,即通过宇宙的非均匀性和各向异性来解释Ia型超新星观测数据的可能性。由于“暗流”、穿过“空洞”和星系团的光的波长变化或各向异性,宇宙的膨胀可能看起来正在加速。不同的宇宙学数据集也被考虑在不需要暗能量成分的情况下。
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引用次数: 0
End-of-discharge prediction for satellite lithium-ion battery based on evidential reasoning rule 基于证据推理规则的卫星锂离子电池放电终期预测
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0031
Dao Zhao, Zhijie Zhou, P. Zhang, Yijun Zhang, Haibin Qin, Shan Gao
Abstract To ensure the safety of the power supply for an in-orbit satellite, it is of great significance to accurately predict the end-of-discharge time of lithium-ion batteries for making a reasonable flight plan. Constrained by development time and experimental environment, it is usually difficult to obtain many full discharge voltage curves of satellite batteries from ground experiments as historical data. Because of insufficient data, the prediction accuracy of the single time series prediction method is low. To solve this problem, this paper takes the voltage of the discharge process as the time series and uses the evidential reasoning rule algorithm to fuse the outputs of three typical prediction models to improve the prediction accuracy. The result can be expressed as a form of belief degree distribution with the ability to express uncertainty. Using the NASA battery dataset, the effectiveness of the proposed method is verified, and the end-of-discharge of an in-orbit satellite battery is predicted by the telemetry data.
摘要为保证在轨卫星供电安全,准确预测锂离子电池放电结束时间对于制定合理的飞行计划具有重要意义。由于研制时间和实验环境的限制,卫星电池的许多完全放电电压曲线作为历史数据很难从地面实验中得到。由于数据不足,单一时间序列预测方法的预测精度较低。针对这一问题,本文以放电过程的电压为时间序列,采用证据推理规则算法对三种典型预测模型的输出进行融合,以提高预测精度。结果可以表示为具有不确定性表达能力的置信度分布形式。利用NASA电池数据验证了所提方法的有效性,并利用遥测数据预测了在轨卫星电池的终放电时间。
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引用次数: 1
Comparing results of real-scale time MHD modeling with observational data for first flare M 1.9 in AR 10365 ar10365第一次耀斑m1.9的实时MHD模拟结果与观测资料的比较
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0008
Alexey Vasilevich Borisenko, Igor Maksimovich Podgorny, A. Podgorny
Abstract As shown in the first results of MHD simulations in the real scale of time, above the active region (AR) 10365, during the first flare M 1.9 (05/26/2003 05:34) at a height of 16–18 mm (lower corona), a singular line of magnetic field appears. The local maximum of the current density is situated on this singular line. The magnetic field in the vicinity of this singular line is the superposition of an X-type magnetic configuration and a divergent magnetic field. The accumulation of magnetic energy for solar flare with current sheet creation takes place near this singular line due to magnetic field deformation by disturbances in the X-type configuration in spite of the presence of overlaid diverging magnetic configuration. The magnetic configuration is so complicated that the singular line can be found only by using specially developed graphical system of search. The position of singular line coincides with position of source of flare radio emission at the frequency 17 GHz above AR 10365 measured by Nobeyama Radioheliograph (NoRH). Also, MHD simulation shows appearance of the singular line, in the vicinity of which X-type configuration dominates. However, apparently due to small disturbance, propagating from the photosphere, sufficient magnetic energy was not accumulated in this configuration, so the NoRH does not show the flare source of emission at the frequency 17 GHz in the place, where this singular line is situated.
在实际时间尺度上的MHD模拟结果显示,在第一次耀斑m1.9(05/26/2003 05:34)的16-18 mm高度(下日冕)上,在活动区(AR) 10365上方出现了一条奇异的磁场线。电流密度的局部最大值位于这条奇异线上。这条奇异线附近的磁场是x型磁场构型和发散磁场的叠加。太阳耀斑的磁能积累与电流片的形成发生在这条奇异线附近,这是由于x型结构中的磁场变形引起的,尽管存在覆盖的发散磁结构。磁位是如此复杂,奇异线只能用专门开发的图形搜索系统才能找到。奇异线的位置与Nobeyama Radioheliograph (NoRH)测量到的ar10365上空17 GHz频率的耀斑射电发射源位置重合。MHD模拟还显示了奇异线的出现,在奇异线附近,x型结构占主导地位。然而,显然由于从光球传播的小干扰,在这个配置中没有积累足够的磁能,因此在奇异线所在的地方,NoRH没有显示频率为17 GHz的耀斑发射源。
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引用次数: 1
Deep learning application for stellar parameters determination: I-constraining the hyperparameters 深度学习在恒星参数确定中的应用:I-约束超参数
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0007
M. Gebran, Kathleen Connick, H. Farhat, F. Paletou, I. Bentley
Abstract Machine learning is an efficient method for analysing and interpreting the increasing amount of astronomical data that are available. In this study, we show a pedagogical approach that should benefit anyone willing to experiment with deep learning techniques in the context of stellar parameter determination. Using the convolutional neural network architecture, we give a step-by-step overview of how to select the optimal parameters for deriving the most accurate values for the stellar parameters of stars: T eff {T}_{{rm{eff}}} , log g log g , [M/H], and v e sin i {v}_{e}sin i . Synthetic spectra with random noise were used to constrain this method and to mimic the observations. We found that each stellar parameter requires a different combination of network hyperparameters and the maximum accuracy reached depends on this combination as well as the signal-to-noise ratio of the observations, and the architecture of the network. We also show that this technique can be applied to other spectral-types in different wavelength ranges after the technique has been optimized.
摘要机器学习是分析和解释日益增多的可用天文数据的有效方法。在这项研究中,我们展示了一种教学方法,它应该有利于任何愿意在恒星参数确定的背景下尝试深度学习技术的人。使用卷积神经网络架构,我们逐步概述了如何选择最佳参数来推导恒星参数的最准确值:T eff{T}_{rm{eff}}、log glog g、[M/H]和v e sin i{v}_{e} 我。使用带有随机噪声的合成光谱来约束该方法并模拟观测结果。我们发现,每个恒星参数都需要不同的网络超参数组合,达到的最大精度取决于这种组合以及观测的信噪比和网络架构。我们还表明,在对该技术进行优化后,该技术可以应用于不同波长范围内的其他光谱类型。
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引用次数: 2
Wide binary stars with non-coeval components 具有非同时期成分的宽双星
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0192
O. Malkov, A. Kniazev
Abstract We have the estimated masses of components of visual binaries from their spectral classification. We have selected pairs in which the less massive component looks more evolved. Spectral observations of some of these pairs were made, and at least one pair, HD 156331, was confirmed to have components of different ages. Since mass exchange is excluded in wide binaries, it means that HD 156331 can be formed by capture.
摘要我们根据可见双星的光谱分类得到了其分量的估计质量。我们选择了质量较小的成分看起来更进化的配对。对其中一些对进行了光谱观测,至少有一对HD 156331被证实具有不同年龄的成分。由于宽双星中排除了质量交换,这意味着HD 156331可以通过捕获形成。
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引用次数: 0
Analysis of the equilibrium points and orbits stability for the asteroid 93 Minerva 小行星93Minerva的平衡点和轨道稳定性分析
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0207
Hu Liu, Yu Jiang, A. Lang, Yajie Wang, X. Zou, J. Ping, Yutong Chang, Yongzhang Yang, Chen Zheng, Yi Lian, Jianfeng Cao
Abstract In this article, we study the orbital dynamics with the gravitational potential of the asteroid 93 Minerva using an irregular shape model from observations. We calculate its physical size, physical mass, surface height, and zero-velocity surface. Meanwhile, we recognize that there are five equilibrium points around Minerva, four of which are external, and one is internal. Two of the external equilibrium points are stable and near the y y -axis, while two external equilibrium points are unstable and near the x x -axis. In addition, we study the changes in the number, position, and topological case of the equilibrium points when changing the spin speed and the density. We calculate the gravitational force acceleration of the polyhedron model, and we back up our calculations by simulating the orbit of one moonlet under the gravitational force acceleration of Minerva. With the simulation result, we demonstrate the existence of stable orbits around Minerva.
摘要在本文中,我们使用观测的不规则形状模型研究了小行星93 Minerva的轨道动力学和引力势。我们计算了它的物理尺寸、物理质量、表面高度和零速度表面。同时,我们认识到Minerva周围有五个平衡点,其中四个是外部的,一个是内部的。其中两个外部平衡点在y轴附近是稳定的,而两个外部均衡点在x轴附近是不稳定的。此外,我们还研究了当自旋速度和密度变化时,平衡点的数量、位置和拓扑情况的变化。我们计算了多面体模型的重力加速度,并通过模拟Minerva重力加速度下一个小卫星的轨道来支持我们的计算。通过模拟结果,我们证明了Minerva周围存在稳定轨道。
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引用次数: 0
Photometry and kinematics of extragalactic star-forming complexes 河外恒星形成复合体的光度测量和运动学
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0018
A. Kuzin, D. Lisitsin
Abstract We investigate spectral and photometric properties of extragalactic star-forming complexes (SFCs). The SFCs were selected in 17 nearby galaxies of a spiral or irregular type, having inclinations less than 45° and distances less than 15 Mpc. To identify SFCs, we developed a method based on matching sources of emission at 160 μ m 160hspace{0.33em}{rm{mu }}{rm{m}} (cold dust) and 8 μ m 8hspace{0.33em}{rm{mu }}{rm{m}} (polycyclic aromatic hydrocarbons). Using photometry in different spectral bands, correlations between SFC properties for spiral and irregular galaxies were considered. Spectral and kinematic analysis was carried out for several SFCs, and a method to detect gas motion patterns in these SFCs was suggested.
摘要我们研究了河外恒星形成复合体(SFCs)的光谱和光度性质。SFC是在附近17个螺旋或不规则类型的星系中选择的,这些星系的倾角小于45°,距离小于15 Mpc。为了识别SFCs,我们开发了一种基于160μm 160 hspace{0.33em}{rm{mu}}和8μm 8 hspace{0.33em}{rm{mu}}(多环芳烃)的匹配排放源的方法。利用不同光谱带的光度法,考虑了螺旋星系和不规则星系SFC性质之间的相关性。对几种SFC进行了光谱和运动学分析,并提出了一种检测这些SFC中气体运动模式的方法。
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引用次数: 1
High-altitude satellites range scheduling for urgent request utilizing reinforcement learning 基于强化学习的高海拔卫星紧急任务测距调度
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0033
Bo Ren, Zhicheng Zhu, Fan Yang, Tao Wu, Hui Yuan
Abstract High-altitude satellites are visible to more ground station antennas for longer periods of time, its requests often specify an antenna set and optional service windows, consequently leaving huge scheduling search space. The exploitation of reinforcement learning techniques provides a novel approach to the problem of high-altitude orbit satellite range scheduling. Upper sliding bound of request pass was calculated, combining customized scheduling strategy with overall antenna effectiveness, a frame of satellite range scheduling for urgent request using reinforcement learning was proposed. Simulations based on practical circumstances demonstrate the validity of the proposed method.
摘要更多的地面站天线可以在更长的时间内看到高空卫星,其要求通常指定天线组和可选的服务窗口,从而留下巨大的调度搜索空间。强化学习技术的开发为解决高轨道卫星测距问题提供了一种新的方法。计算了请求通过的上界,将定制调度策略与天线的整体有效性相结合,提出了一种基于强化学习的卫星紧急请求测距调度框架。基于实际情况的仿真验证了该方法的有效性。
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引用次数: 2
Research on real-time reachability evaluation for reentry vehicles based on fuzzy learning 基于模糊学习的再入飞行器可达性实时评估研究
IF 0.7 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Pub Date : 2022-01-01 DOI: 10.1515/astro-2022-0026
Hong Ma, Ke Xu, Shouming Sun, W. Zhang, Tao Xi
Abstract Accurate and rapid prediction of reentry trajectory and landing point is the basis to ensure the reentry vehicle recovery and rescue, but it has high requirements for the continuity and stability of real-time monitoring and positioning data and the fidelity of the reentry prediction model. In order to solve the above contradiction, based on the theory of relative entropy and closeness in fuzzy learning, research on real-time evaluation of reentry reachability is presented in this article. With the Monte Carlo analysis data during the design and evaluation of the reentry vehicle control system, the reentry trajectory feature information base is designed. With the matching identification decision strategy between the identified trajectory and trajectory feature base, the reachability of the reentry vehicle, reachable trajectory, and landing point can be predicted. The simulation results show that by reasonably selecting the time window and using the evaluation method designed in this article, making statistics of the trajectory sequence number and frequency identified based on relative entropy and closeness method, the reachability evaluation results can be given stably, which is suitable for the real-time task evaluation of TT&C system.
准确、快速地预测再入轨道和着陆点是保证再入飞行器回收和救援的基础,但对实时监测定位数据的连续性和稳定性以及再入预测模型的保真度要求较高。为了解决上述矛盾,本文基于模糊学习中的相对熵和贴近度理论,对再入可达性的实时评价进行了研究。利用再入飞行器控制系统设计与评估过程中的蒙特卡罗分析数据,设计了再入轨道特征信息库。利用识别轨迹与轨迹特征库的匹配识别决策策略,对再入飞行器的可达性、可达轨迹和着陆点进行预测。仿真结果表明,通过合理选择时间窗口,采用本文设计的评估方法,对基于相对熵法和贴近度法识别的轨迹序号和频率进行统计,可以稳定地给出可达性评估结果,适用于测控系统的实时任务评估。
{"title":"Research on real-time reachability evaluation for reentry vehicles based on fuzzy learning","authors":"Hong Ma, Ke Xu, Shouming Sun, W. Zhang, Tao Xi","doi":"10.1515/astro-2022-0026","DOIUrl":"https://doi.org/10.1515/astro-2022-0026","url":null,"abstract":"Abstract Accurate and rapid prediction of reentry trajectory and landing point is the basis to ensure the reentry vehicle recovery and rescue, but it has high requirements for the continuity and stability of real-time monitoring and positioning data and the fidelity of the reentry prediction model. In order to solve the above contradiction, based on the theory of relative entropy and closeness in fuzzy learning, research on real-time evaluation of reentry reachability is presented in this article. With the Monte Carlo analysis data during the design and evaluation of the reentry vehicle control system, the reentry trajectory feature information base is designed. With the matching identification decision strategy between the identified trajectory and trajectory feature base, the reachability of the reentry vehicle, reachable trajectory, and landing point can be predicted. The simulation results show that by reasonably selecting the time window and using the evaluation method designed in this article, making statistics of the trajectory sequence number and frequency identified based on relative entropy and closeness method, the reachability evaluation results can be given stably, which is suitable for the real-time task evaluation of TT&C system.","PeriodicalId":19514,"journal":{"name":"Open Astronomy","volume":"31 1","pages":"205 - 216"},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43297284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Open Astronomy
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