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Barkhausen jump correlations in thin foils of Fe and Ni

机译:Fe 和 Ni 薄箔中的 Barkhausen 跳跃相关性

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The Barkhausen noise emanating from the surface of thin foils of nearly pure iron and nickel was obtained by digitizing the noise signal over a complete hysteresis loop. This digitized signal is used to analyze various attributes of the noise such as the autocorrelation, power density spectrum, jump amplitude spectrum, and jump amplitude correlation. For thin foils (25 mgr;m) the power density exhibits a peak in the low‐frequency range, contrary to what is predicted for a series of statistically independent Barkhausen jumps. Return maps and plots of jump amplitude versus time between jumps show no evident deviation from random noise behavior. Thus jump correlations or clustering do not explain the power density spectra, and an additional mechanism for the loss of low‐frequency power is required.
机译:从近乎纯铁和镍的薄箔表面发出的巴克豪森噪声是通过在完整的滞后环路上对噪声信号进行数字化获得的。该数字化信号用于分析噪声的各种属性,例如自相关、功率密度谱、跳跃幅度谱和跳跃幅度相关性。对于薄箔(25 &mgr;m),功率密度在低连字符频率范围内表现出峰值,这与一系列统计上独立的巴克豪森跳跃的预测相反。跳跃幅度与跳跃间隔时间的返回图和图显示与随机噪声行为没有明显偏差。因此,跳跃相关或聚类并不能解释功率密度谱,并且需要一种额外的机制来降低低连字符;频率功率的损失。

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