An Automatic Method for Detecting Transients and Variable Sources in AST3 Survey Based on Image Subtraction and Random Forest     

《Chinese Astronomy and Astrophysics》2020,44(1):41-60

AST3-2 (the second Antarctic Survey Telescope) is located in Antarctic Dome A, the loftiest ice dome on the Antarctic Plateau. It produces a huge amount of observational data which require a more efficient data reduction program to be developed. Also the data transmission in Antarctica is much difficult, thus it is necessary to perform data reduction and detect variable and transient sources remotely and automatically in Antarctica, but this attempt is restricted by the unsatisfactory performance of the low power consumption computer in Antarctica. For realizing this purpose, to develop a new method based on the existing image subtraction method and random forest algorithm, taking the AST3-2 2016 dataset as the test sample, becomes an alternative choice. This method performs image subtraction on the dataset, then applies the principle component analysis to extract the features of residual images. Random forest is used as a machine learning classifier, and in the test a recall rate of 97% is resulted for the positive sample. Our work has verified the feasibility and accuracy of this method, and finally found out a batch of candidates for variable stars in the AST3-2 2016 dataset.  相似文献   

Research on Parallel Algorithms for uv-faceting Imaging     

《Chinese Astronomy and Astrophysics》2019,43(3):424-443

The uv-faceting imaging is one of the widely used large field of view imaging technologies, and will be adopted for the data processing of the low-frequency array in the first stage of the Square Kilometre Array (SKA1). Due to the scale of the raw data of SKA1 is unprecedentedly large, the efficiency of data processing directly using the original uv-faceting imaging will be very low. Therefore, a uv-faceting imaging algorithm based on the MPI (Message Passing Interface)+OpenMP (Open Multi-Processing) and a uv-faceting imaging algorithm based on the MPI+CUDA (Compute Unified Device Architecture) are proposed. The most time-consuming data reading and gridding in the algorithm are optimized in parallel. The verification results show that the results of the proposed two algorithms are basically consistent with that obtained by the current mainstream data processing software CASA (Common Astronomy Software Applications), which indicates that the proposed two algorithms are basically correct. Further analysis of the accuracy and total running time shows that the MPI+CUDA method is better than the MPI+OpenMP method in both the correctness rate and running speed. The performance test results show that the proposed algorithms are effective and have certain extensibility.  相似文献   

Study of Star/Galaxy Classification Based on the XGBoost Algorithm     

《Chinese Astronomy and Astrophysics》2019,43(4):539-548

Machine learning has achieved great success in many areas today. The lifting algorithm has a strong ability to adapt to various scenarios with a high accuracy, and has played a great role in many fields. But in astronomy, the application of lifting algorithms is still rare. In response to the low classification accuracy of the dark star/galaxy source set in the Sloan Digital Sky Survey (SDSS), a new research result of machine learning, eXtreme Gradient Boosting (XGBoost), has been introduced. The complete photometric data set is obtained from the SDSS-DR7, and divided into a bright source set and a dark source set according to the star magnitude. Firstly, the ten-fold cross-validation method is used for the bright source set and the dark source set respectively, and the XGBoost algorithm is used to establish the star/galaxy classification model. Then, the grid search and other methods are used to adjust the XGBoost parameters. Finally, based on the galaxy classification accuracy and other indicators, the classification results are analyzed, by comparing with the models of function tree (FT), Adaptive boosting (Adaboost), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Stacked Denoising AutoEncoders (SDAE), and Deep Belief Nets (DBN). The experimental results show that, the XGBoost improves the classification accuracy of galaxies in the dark source classification by nearly 10% as compared to the function tree algorithm, and improves the classification accuracy of sources with the darkest magnitudes in the dark source set by nearly 5% as compared to the function tree algorithm. Compared with other traditional machine learning algorithms and deep neural networks, the XGBoost also has different degrees of improvement.  相似文献   

Photometric Follow-up Transit (Primary Eclipse) Observations of WASP-43 b and TrES-3b and A Study on Their Transit Timing Variations     

Sun Zhao  Ji Jiang-hui  Dong Yao 《Chinese Astronomy and Astrophysics》2018,42(1):101-128

Two photometric follow-up transit (primary eclipse) observations on WASP-43 b and four observations on TrES-3 b are performed using the Xuyi Near-Earth Object Survey Telescope. After differential photometry and light curve analysis, the physical parameters of the two systems are obtained and are in good match with the literature. Combining with transit data from a lot of literature, the residuals (O ? C) of transit observations of both systems are fitted with the linear and quadratic functions. With the linear fitting, the periods and transit timing variations (TTVs) of the planets are obtained, and no obvious periodic TTV signal is found in both systems after an analysis. The maximum mass of a perturbing planet located at the 1:2 mean motion resonance (MMR) for WASP-43 b and TrES-3 b is estimated to be 1.826 and 1.504 Earth mass, respectively. By quadratic fitting, it is confirmed that WASP-43 b may have a long-term TTV which means an orbital decay. The decay rate is shown to be P? = (?0.005248 ± 0.001714) s·yr^?1, and compared with the previous results. Based on this, the lower limit of the stellar tidal quality parameter of WASP-43 is calculated to be ${Q^{\prime }}_{*}\ge 1.5\times {10}^5$, and the remaining lifetimes of the planets are presented for the different ${Q^{\prime }}_{*}$ values of the two systems, correspondingly.  相似文献   

黑龙江多宝山——大新屯地区铜金多金属成矿作用及找矿方向   总被引：1，自引：0，他引：1  

韩振哲  刘娜  公凡影  李永胜  李仰春  姚磊 《地质论评》2015,61(4):787-796

黑龙江省多宝山—大新屯地区,铜矿以中—晚加里东期多宝山式斑岩型、燕山早期三矿沟式矽卡岩型为主,晚古生界海底火山岩有关喷发—沉积型铜锌矿床,具优越的成矿潜力,不同时期、类型铜矿床在空间分布上明显受古生代海相火山岩—碳酸盐岩建造控制,并具有"上金下铜"的斑岩—热液型铜金矿成矿系统的特征。金矿以燕山晚期三道湾子式浅成低温热液型金成矿作用强烈为特点;持续时间由早石炭世—早—中侏罗世的韧性剪切—走滑作用、中侏罗世为主要伸展期的变质核杂岩有关的金成矿作用,以及奥陶纪浊积岩(卡林型)有关金成矿作用,以中—小规模金矿床(点)为主;金矿受北西向、北东向的火山构造、变质核杂岩构造和韧性剪切—走滑作用控制,显示出良好的金找矿前景;结合近期的铜金矿重大勘查进展和成果,总结成矿规律,梳理了制约着铜金多金属矿找矿突破的关键地质问题,提出找矿方向和今后勘查工作部署建议。  相似文献   

四川省青川县碾子村清岭沟泥石流特征及防灾对策     

张劲松  巨能攀  赵建军 《中国地质灾害与防治学报》2011,22(1):37-42

清岭沟位于四川省青川县碾子村五社,该区工程地质条件复杂。＂5.12＂地震后沟内出现大量崩塌落石和松散堆积物,为泥石流的爆发提供了充足的物源,2008年8月清岭沟地区发生连续强降雨,8月25日清岭沟爆发了泥石流。目前沟源及沟道两侧发育一处规模较大的潜在不稳定斜坡、三处规模较大的危岩体、一处形成于＂5.12＂地震期间的崩塌堆积物,一旦遭遇暴雨等不良地质作用这些潜在物源极易失稳,成为清岭沟泥石流的物源,使清岭沟再次发生泥石流灾害,威胁清岭沟下游村落及公路。通过野外对清岭沟进行地质调查、室内试验和动力学特征分析提出了UX—150型泥石流栅栏、拦砂坝、排导槽和桥涵改造的综合治理措施。  相似文献   

Visit to the British Museum: March 24th, 1874     

W.H. Hudleston  James Parker 《Proceedings of the Geologists' Association. Geologists' Association》1875,4(2):91-97

  相似文献   

2008年南海季风爆发前后西沙海域海气通量变化特征   总被引：3，自引：1，他引：3  

孙启振  陈锦年  闫俊岳  张秀芝  黄磊  王长科  姚华栋  赵学华  陈长丘 《海洋学报》2010,32(4):12-23

基于2008年4至5月在南海西沙永兴岛进行的海气通量观测试验资料和NCEP资料,应用COARE3.0通量算法计算了海气通量,分析了季风爆发前后西沙海域天气变化特点和海气通量对南海季风爆发的响应。结果表明:2008年南海季风首先于5月第1候在南海南部爆发,受热带气旋等因素的影响,北部海区季风爆发推迟到5月18日。季风爆发和热带气旋活动对西沙海域的风速和海气通量影响较大,其中热带气旋的影响更强烈。热带气旋来临之前,潜热通量、感热通量以及动量通量均较小;在气旋活动及此后的季风爆发时期,大风使潜热通量和动量通量显著增强,感热通量则在降水期间变化明显;动量通量的最大值出现在热带气旋活动期间,其在此过程中的均值是观测初期均值的3倍以上。在整个观测过程中,潜热通量明显大于感热通量,后者是前者的16∶1。不同类型天气过程中,潜热通量的日变化相似,而感热通量的日变化有差异。湍流交换系数与风速有较好的相关关系。  相似文献   

张家口—渤海地震带岩石圈磁场时空变化特征     

张海洋  李博  苏树朋  王朝景  刘德强  赵慧琴  毛丰龙 《地震》2022,42(1):133-144

利用2016—2018年3期华北地区流动地磁矢量原始测量资料, 经数据计算获得2期华北地区和张家口—渤海地震活动带及邻区岩石圈磁场时空变化模型。 研究结果显示: 张家口—渤海地震带岩石圈磁场变化空间分布不均匀, 具有明显的分区特征, 在张家口段(西段)与北京段(中西段)分界处和北京段(中西段)与唐山段(中东段)分界处岩石圈磁场各要素具有明显的异常变化, 如水平矢量存在转向和幅值变化, 磁偏角与磁倾角具有正负异常高梯度带的特征, 这与张家口—渤海地震带构造分段性特征密切相关。 张家口—渤海地震带位于燕山块体与华北平原块体之间, 两者运动的平动速率之差是张家口—渤海地震带左旋走滑的直接动力来源, 而各断裂带左旋走滑速率之差很可能是岩石圈磁场空间变化分段性分布的主要原因。  相似文献   

ICP-OES法测定煤样中磷、铜、铅、锌、镉、铬、镍、钴等元素   总被引：1，自引：0，他引：1  

杜白  徐红梅  廖丽荣 《云南地质》2012,(1):128-130

采用硝酸—氢氟酸—高氟酸混合体系,微波消解样品,用ICP-OES法测定煤样中微量元素P、Cu、Pb、Zn、Cr、Dd、Ni、Co,快速简便、准确度高。  相似文献