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基于残差神经网络的恒星-星系分类器 被引量:1
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作者 杨阳 文中略 夏俊卿 《北京师范大学学报(自然科学版)》 CAS CSCD 北大核心 2021年第4期450-457,共8页
使用残差神经网络(residual neural network,RNN)算法对斯隆数字巡天(Sloan digital sky survey,SDSS)提供的天体伪彩色图片进行分类,直接从图像中获得特征.使用带有光谱信息的星系与恒星图片作为训练集和测试集.经过训练,在测试集上的... 使用残差神经网络(residual neural network,RNN)算法对斯隆数字巡天(Sloan digital sky survey,SDSS)提供的天体伪彩色图片进行分类,直接从图像中获得特征.使用带有光谱信息的星系与恒星图片作为训练集和测试集.经过训练,在测试集上的准确率达到98.23%,召回率达到98.80%.这表明:RNN可以实现对星系和恒星图像的精确分类,分类器给出的恒星-星系概率是有效的,可用于分类可靠度评估;还可以尝试将此分类器应用到未来巡天中,进一步测试其性能. 展开更多
关键词 巡天 深度学习 分类 恒星 星系
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Discovery of eight lensing clusters of galaxies 被引量:2
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作者 LIANG SuMing wen zhonglue +1 位作者 HAN JinLin JIANG YunYing 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2014年第9期1809-1815,共7页
Clusters of galaxies have a huge mass which can act as gravitational lenses.Galaxies behind clusters can be distorted by the lenses to form arcs in images.Herein a search was done for giant lensed arcs using the SDSS ... Clusters of galaxies have a huge mass which can act as gravitational lenses.Galaxies behind clusters can be distorted by the lenses to form arcs in images.Herein a search was done for giant lensed arcs using the SDSS data.By visually inspecting SDSS images of newly identified clusters in the SDSS DR8 and Stripe 82 data,we discover 8 strong lensing clusters together with additional 3probable and 6 possible cases.The lensed arcs show bluer colors than the member galaxies of clusters.The masses and optical luminosities of galaxy clusters interior to the arcs are calculated.The mass-to-light ratios are found to be in the range of a few tens of M⊙/L⊙,consistent with the distribution of previously known lensing clusters. 展开更多
关键词 galaxy clusters gravitational lenses and luminous arcs photography and photometry
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Five E+A (post-starburst) galaxies as Brightest Cluster Galaxies 被引量:1
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作者 LIU FengShan wen zhonglue +1 位作者 HAN JinLin MENG XianMin 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2012年第2期354-357,共4页
Brightest Cluster Galaxies (BCGs) are mostly elliptical galaxies and very rarely have prominent star formations. We found that five out of 8,812 BCGs are E+A (i.e., post-starburst) galaxies, having an Hd absorpti... Brightest Cluster Galaxies (BCGs) are mostly elliptical galaxies and very rarely have prominent star formations. We found that five out of 8,812 BCGs are E+A (i.e., post-starburst) galaxies, having an Hd absorption line with an equivalent width 〉2.5 A and no distinct emission lines in [O II] and Ha-. The E+A features we identified from the BCGs for the first time are not as significant as those in general galaxies, indicating that historically the star formations were not very violent. 展开更多
关键词 GALAXIES CLUSTERS GENERAL
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An efficient method to identify galaxy clusters by using SuperCOSMOS,2MASS and WISE data
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作者 XU WeiWei wen zhonglue HAN JinLin 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2014年第11期2168-2173,共6页
The survey data of Wide-field Infrared Survey Explorer(WISE)provide an opportunity for the identification of galaxy clusters.We present an efficient method for detecting galaxy clusters by combining the WISE data with... The survey data of Wide-field Infrared Survey Explorer(WISE)provide an opportunity for the identification of galaxy clusters.We present an efficient method for detecting galaxy clusters by combining the WISE data with SuperCOSMOS and 2MASS data.After performing star-galaxy separation,we calculate the number of companion galaxies around the galaxies with photometric redshifts previously estimated by the SuperCOSMOS,2MASS and WISE data.A scaled richness Rscal 30 is set as a criterion to identify clusters.From a sky area of 275 deg2of the Sloan Digital Sky Survey Stripe 82 region,we identify 302 clusters in the redshift range of 0.1<z<0.35,247(82%)of which are previously known SDSS clusters.The results suggest that our method is efficient for identifying galaxy clusters by using the all sky data of the SuperCOSMOS,2MASS and WISE. 展开更多
关键词 INFRARED galaxy clusters REDSHIFTS
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