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A CLEAN-based Method for Deconvolving Interstellar Pulse Broadening from Radio Pulses

机译:一种基于CLEAN的从无线电脉冲中解旋星际脉冲展宽的方法

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摘要

Multipath propagation in the interstellar medium distorts radio pulses, an effect predominant for distant pulsars observed at low frequencies. Typically, broadened pulses are analyzed to determine the amount of propagation-induced pulse broadening, but with little interest in determining the undistorted pulse shapes. In this paper we develop and apply a method that recovers both the intrinsic pulse shape and the pulse broadening function that describes the scattering of an impulse. The method parallels the CLEAN algorithm used in synthesis imaging applications. As figures of merit to optimize the deconvolution, we use the positivity and symmetry of the deconvolved result along with the mean square residual and the number of points below a given threshold. Our method makes no prior assumptions about the intrinsic pulse shape and can be used for a range of scattering functions for the interstellar medium. It can therefore be applied to a wider variety of measured pulse shapes and degrees of scattering than the previous approaches. We apply the technique to both simulated data and data from Arecibo observations.
机译:星际介质中的多径传播使无线电脉冲失真,这是低频观察到的遥远脉冲星的主要影响。通常,分析加宽的脉冲以确定传播引起的脉冲加宽的量,但对确定未失真的脉冲形状兴趣不大。在本文中,我们开发并应用了一种恢复固有脉冲形状和描述脉冲散射的脉冲展宽函数的方法。该方法与合成成像应用中使用的CLEAN算法相似。作为优化去卷积的品质因数,我们使用了去卷积结果的正和对称性以及均方差和低于给定阈值的点数。我们的方法没有对固有脉冲形状做任何先验假设,可用于星际介质的一系列散射函数。因此,与以前的方法相比,它可以应用于更广泛的测量脉冲形状和散射程度。我们将该技术应用于模拟数据和来自Arecibo观测值的数据。

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