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Temporal correlations in a one-dimensional sandpile model

机译:一维沙堆模型中的时间相关性

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We investigate numerically temporal correlations in a one-dimensional critical-slope sandpile model with rules that on average conserve the number of particles. Our work is motivated by the existence of two well-separated time scales in self-organized sandpile models, one related to the spreading of avalanches and the other imposed by the external driving. We assume that avalanches are instantaneous events on the time scale imposed by the external deposition and study the autocorrelation function of the series of successive avalanche amplitudes. We find that the autocorrelation function has a log-normal form and for large system sizes tends to a constant, implying that the temporal correlations become stronger in the limit of large system size. We independently test this result by calculating the power spectrum of the series of successive avalanche lifetimes and sizes. For large system sizes L there is a frequency regime where the power spectrum tends to a 1/f type of noise, in agreement with the tendency of the autocorrelation function to approach a constant in large systems.
机译:我们研究一维临界坡度沙堆模型中的数值时间相关性,其规则平均可节省颗粒数。自组织沙堆模型中存在两个完全分开的时间尺度,这是我们工作的动力,其中一个与雪崩的扩散有关,另一个与外部驱动力有关。我们假设雪崩是外部沉积施加的时间尺度上的瞬时事件,并研究一系列连续雪崩振幅的自相关函数。我们发现自相关函数具有对数正态形式,并且对于大系统规模趋于恒定,这意味着在大系统规模的限制下时间相关性变得更强。我们通过计算一系列连续雪崩寿命和尺寸的功率谱来独立测试此结果。对于大型系统L,存在一种频率范围,其中功率谱趋向于1 / f类型的噪声,这与大型系统中自相关函数趋于接近常数的趋势一致。

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