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Spectral signatures of ultra-rapidly varying objects in spectroscopic surveys

机译:光谱学调查中超快速变化的物体的光谱特征

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Context. Astronomy is an observationally-led subject wherechance discoveries play an important role. The time domain is the leastexplored in astronomy. Aims. We alert spectroscopists, particularly those involved insurveys, that rapidly varying sources can induce periodic patterns inspectra. Methods. The analytical treatment is based on standard Fouriertheory. It is used to predict the shapes of features introduced byintensity pulses in spectra. These are the shapes that one must lookfor in spectral surveys. The theoretical analysis is supported bypublished experiments that measured the spectral modulation, in thevisible wavelength region, caused by pairs of 150femtosecondlaser pulses separated by time periods varying between s and s. Results. Detection of spectral signatures would allow thedetection of new classes of objects that emit bursts of pulsesseparated by time intervals that are too short to be detected withconventional techniques. The principal advantage of the technique isthat there is no need for specialized instruments or surveys: one mustonly incorporate algorithms capable of searching for periodicspectroscopic signals, such as those shown in a figure in this article,into existing data analyzis software and use it with standardspectroscopic surveys (including existing ones). Key words: techniques: spectroscopic - methods: data analysis - radiation mechanisms: general
机译:上下文。天文学是一个以观察为主导的学科,机会发现在其中发挥着重要作用。时域是天文学中探索最少的。目的我们提醒光谱学家,特别是那些参与调查的光谱学家,认为瞬息万变的来源可能会引起周期性的模式检查。方法。分析处理基于标准傅立叶理论。它用于预测光谱中强度脉冲引入的特征形状。这些是人们在频谱测量中必须寻找的形状。理论分析得到了已发表实验的支持,该实验测量了可见光波长区域中的光谱调制,该光谱调制是由成对的150个飞秒激光脉冲对所分隔开的,时间间隔在s和s之间变化。结果。频谱签名的检测将允许检测新类别的对象,这些对象发出的脉冲突发被时间间隔分隔开,这些时间间隔太短,无法用常规技术检测到。该技术的主要优点是不需要专门的仪器或调查:只需将能够搜索周期性光谱信号的算法(如本文图中所示的那些算法)整合到现有的数据分析软件中,并与标准光谱调查一起使用(包括现有的)。关键词:技术:光谱学-方法:数据分析-辐射机理:一般

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