Figure 2
Flow characterization as a function of the self-oscillation amplitude. A: Flow rate; 95% confidence intervals are within the symbol size. B: The \(\alpha\) exponents of the power-law distribution of the time intervals between two consecutive particles passing through the exit (\(dt_{out}\)). In the inset, two examples of complementary cumulative distribution functions (also known as survival curves) are shown from which \(\alpha\) is estimated19. The y-axis label indicates the probability of finding any passage time \(Dt_{out}\) greater than a particular value of \(dt_{out}\). The dashed lines indicate the tail of the distributions where the power law is valid ( \(dt_c: dt_{out} \ge dt_{out}^{min}\) ).
