Subjects: Astronomy submitted time 2024-01-31 Cooperative journals: 《天文学报》
Abstract： Optical meteor monitoring networks are composed by several optical meteor monitoring systems placed in different locations, which mainly contain a detector and a data processing modular. The optical meteor monitoring system could locate meteorites, obtain number of meteors, detect and send alerts of fire meteors. Real-time detection of meteors with high efficiency is important both for scientific research and civil affairs. This paper proposes a novel optical meteor monitoring system based on artificial intelligence device. The optical meteor monitoring system includes a hardware part and a software part. The hardware part is composed by a commercial camera and an artificial intelligence device. The software part is running in the artificial intelligence device, which includes the control module, the meteor monitoring module, and the data management module. The camera would capture videos in real time and send observation data to the meteor monitoring module. The meteor monitoring module could process observation data in real time to obtain candidates of meteors and store data of these candidates. At last, the data management module would send all detection data to the data center for further process. This paper uses real observation data to test the performance of the meteor monitoring module and results show that this algorithm can achieve a false positive rate of 0.28\% and a recall rate of 100\% and the speed of the data processing part is 8 times faster than the Mobilenetv2. This system has been further deployed in Taiyuan University of Technology and the remote observatory of Zhangbi Castle. Results show that the optical meteor monitoring system could achieve a recall rate of 100\% and a relatively low false detection rate.
Subjects: Astronomy submitted time 2023-08-02 Cooperative journals: 《天文学报》
Abstract： Classical methods for initial orbit determination (IOD) include Laplace method, Gauss method and their variations. In addition to this, based on the characteristic of optical observation data nowadays, experts propose some other IOD methods, like Double-$r$ method and admissible region method. One of the ways to determinate the orbit through double-$r$ method is to guess distances of the target from the observer at two epochs---usually at the first and the last one. By doing so, we can solve the Lambert problem and use its solution as the initial guess of the orbit. Furthermore, we can improve the initial guess by iterations to reduce the root mean square (RMS) of the observations. The admissible method is based on the concept of attributable (longitude, latitude and their rates). With some conceptions, the admissible region described by the range and range rate from the observer is characterized. Using triangulation we can find the nodal point that makes the RMS minimal. In our work, we apply one intelligent optimization method---the particle swarm optimization method to the two methods, based on simulated and real data, and compare the results with that of modified Laplace method. At last, we briefly discuss the possibility of applying the double-$r$ method to the orbit link problem.
Subjects: Astronomy >> Astrophysical processes submitted time 2022-11-17 Cooperative journals: 《天文研究与技术》
Abstract： Semi-detached binaries are significant targets for the study of the formation and evolution of interacting binaries. Rapid modeling tool is highly required to derive the parameters with large amount of stars to be observed by many recent time-domain photometric surveys. In this work, based on a neural network, a light curve modeling of semi-detached binaries is proposed, which can derive orbital inclination(incl), relative radius(R/a), the mass ratio(q), and temperature ratio(T2/T1) fast via the observational light curve and known effective temperature of the primary star. The results of Kepler's light curve modeling show that the model can accurately fit the light curves of pulsating eclipsing binaries (the fitting degree can reach more than 0.9). For a target whose relative measurement error, orbital inclination, the amplitude of light curve, and temperature ratio are 0.01, ~90°, 1.84 mag, and 0.6, the measurement errors are 1.251, 0.004, 0.008 and 0.003 for incl, R/a, q, and T2/T1, respectively. In addition, as an application, the proposed model in this work can be deployed on other photometric data by simply replacing the train data, which provides an effective tool to obtain a large number of parameters of semi-detached binaries and fast search for candidates of abnormal binaries.
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