To further extend study on celestial attitude determination with strapdown star sensor from static into dynamic field, one prerequisite is to generate precise dynamic simulating star maps. First a neat analytical solu...To further extend study on celestial attitude determination with strapdown star sensor from static into dynamic field, one prerequisite is to generate precise dynamic simulating star maps. First a neat analytical solution of the smearing trajectory caused by spacecraft attitude maneuver is deduced successfully, whose parameters cover the geometric size of optics, three-axis angular velocities and CCD integral time. Then for the first time the mathematical law and method are discovered about how to synthesize the two formulae of smearing trajectory and the static Gaussian distribution function （GDF） model, the key of which is a line integral with regard to the static GDF attenuated by a factor 1/Ls （Ls is the arc length of the smearing trajectory） along the smearing trajectory. The dynamic smearing model is then obtained, also in an analytical form. After that, three sets of typical simulating maps and data are simulated from this dynamic model manifesting the expected smearing effects, also compatible with the linear model as its special case of no boresight rotation. Finally, model validity tests on a rate turntable are carried out, which results in a mean correlation coefficient 0.920 0 between the camera images and the corresponding model simulated ones with the same parameters. The sufficient similarity verifies the validity of the dynamic smearing model. This model, after pa- rameter calibration, can serve as a front-end loop of the ground semi-physical simulation system for celestial attitude determination with strapdown star sensor.展开更多
柳杉毛虫是一种严重为害柳杉的食叶害虫,探明柳杉毛虫的寄生蝇种类,将为该虫优势天敌的筛选提供更多的选择。本研究从野外采集柳杉毛虫幼虫并带回室内饲养,出蛆化蛹,羽化获得不同种类的寄生蝇。对获得的寄生蝇进行分类、鉴定,并描述其...柳杉毛虫是一种严重为害柳杉的食叶害虫,探明柳杉毛虫的寄生蝇种类,将为该虫优势天敌的筛选提供更多的选择。本研究从野外采集柳杉毛虫幼虫并带回室内饲养,出蛆化蛹,羽化获得不同种类的寄生蝇。对获得的寄生蝇进行分类、鉴定,并描述其系统分类地位、形态特征、地理分布及寄主。调查发现,柳杉毛虫的寄生蝇由多到少依次为蚕饰腹寄蝇Blepharipa zebina(Walker),瘦钩鬃麻蝇Sarcophaga(Sarcorohdendorfia)gracilior(Chen),黑角狭颊寄蝇Carcelia(s.str.)nigrantennata Chao et Liang,松毛虫狭颊寄蝇C.(s.str.)matsukarehae(Shima),星毛虫狭颊寄蝇C.(s.str.)illiberisi Chao et Liang,拟庸赘寄蝇Drino(Palexorista)inconspicuoides(Baranov),羚足鬃麻蝇S.(Sarcorohdendorfia)antilope Böttcher,共7种,其中蚕饰腹寄蝇、瘦钩鬃麻蝇、黑角狭颊寄蝇分布较广,种群数量较多,寄生率较高,分别为7.44%、7.37%、5.48%,被认为是优势种;且拟庸赘寄蝇为福建新分布记录;柳杉毛虫是黑角狭颊寄蝇、星毛虫狭颊寄蝇、拟庸赘寄蝇的新寄主;还发现2种重寄生蜂寄生于寄生蝇。记述柳杉毛虫的7种寄生蝇形态特征,有助于今后识别其天敌昆虫,研究害虫与天敌的种间关系,评价寄生蝇种群对维护柳杉林分生态系统稳定和防控柳杉毛虫的潜能,具有重要意义。展开更多
文摘To further extend study on celestial attitude determination with strapdown star sensor from static into dynamic field, one prerequisite is to generate precise dynamic simulating star maps. First a neat analytical solution of the smearing trajectory caused by spacecraft attitude maneuver is deduced successfully, whose parameters cover the geometric size of optics, three-axis angular velocities and CCD integral time. Then for the first time the mathematical law and method are discovered about how to synthesize the two formulae of smearing trajectory and the static Gaussian distribution function （GDF） model, the key of which is a line integral with regard to the static GDF attenuated by a factor 1/Ls （Ls is the arc length of the smearing trajectory） along the smearing trajectory. The dynamic smearing model is then obtained, also in an analytical form. After that, three sets of typical simulating maps and data are simulated from this dynamic model manifesting the expected smearing effects, also compatible with the linear model as its special case of no boresight rotation. Finally, model validity tests on a rate turntable are carried out, which results in a mean correlation coefficient 0.920 0 between the camera images and the corresponding model simulated ones with the same parameters. The sufficient similarity verifies the validity of the dynamic smearing model. This model, after pa- rameter calibration, can serve as a front-end loop of the ground semi-physical simulation system for celestial attitude determination with strapdown star sensor.
文摘柳杉毛虫是一种严重为害柳杉的食叶害虫,探明柳杉毛虫的寄生蝇种类,将为该虫优势天敌的筛选提供更多的选择。本研究从野外采集柳杉毛虫幼虫并带回室内饲养,出蛆化蛹,羽化获得不同种类的寄生蝇。对获得的寄生蝇进行分类、鉴定,并描述其系统分类地位、形态特征、地理分布及寄主。调查发现,柳杉毛虫的寄生蝇由多到少依次为蚕饰腹寄蝇Blepharipa zebina(Walker),瘦钩鬃麻蝇Sarcophaga(Sarcorohdendorfia)gracilior(Chen),黑角狭颊寄蝇Carcelia(s.str.)nigrantennata Chao et Liang,松毛虫狭颊寄蝇C.(s.str.)matsukarehae(Shima),星毛虫狭颊寄蝇C.(s.str.)illiberisi Chao et Liang,拟庸赘寄蝇Drino(Palexorista)inconspicuoides(Baranov),羚足鬃麻蝇S.(Sarcorohdendorfia)antilope Böttcher,共7种,其中蚕饰腹寄蝇、瘦钩鬃麻蝇、黑角狭颊寄蝇分布较广,种群数量较多,寄生率较高,分别为7.44%、7.37%、5.48%,被认为是优势种;且拟庸赘寄蝇为福建新分布记录;柳杉毛虫是黑角狭颊寄蝇、星毛虫狭颊寄蝇、拟庸赘寄蝇的新寄主;还发现2种重寄生蜂寄生于寄生蝇。记述柳杉毛虫的7种寄生蝇形态特征,有助于今后识别其天敌昆虫,研究害虫与天敌的种间关系,评价寄生蝇种群对维护柳杉林分生态系统稳定和防控柳杉毛虫的潜能,具有重要意义。
