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tokens: and electron and ion heating, respectively. In the left-hand panels each individual histogram (denoted by line style and color) corresponds to a different type of heating function. This means, for example, that the solid blue histogram includes emission measure ratios for all values of t N , but for only those cases where heating events are evenly spaced (i.e., β = 0) and chosen from a power-law distribution of α = −1.5. The right panels show these same emission measure ratios, but now categorized by t N . For example, the solid red histogram includes emission measure ratios for every type of heating function (i.e., uniform, all α and all β ), but for only those runs where t N = 3000 s. Note that we choose to only show results for five values of t N for aesthetic purposes. Figure 8. Histograms of emission measure ratios EM( T hot )/EM( T cool ), where T hot = 10 6.942 K and T cool = 10 6.187 K, for all heating function types and heating frequencies for the single-fluid case. In both panels each histogram is normalized such that for each distribution P ( x ), and the bin widths are calculated using the Bayesian blocks method of Scargle et al. ( 2013 ). Left: emission measure ratios separated by heating function type for all heating frequencies, 250 ≤ t N ≤ 5000 s. Because there are too few (20) EM ratio measurements for the uniform case to construct a meaningful histogram, we denote the median of the uniform results with a vertical line, shown here in purple. Right: emission measure ratios separated by waiting time, t N . For aesthetic purposes, only five values of t N are shown, t N = 1000, 2000, 3000, 4000, 5000 s. Figure 9. Same as Figure 8 , but for the case where only the electrons are heated. Figure 10. Same as Figure 8 , but for the case where only the ions are heated. Considering first the left-hand panels, in the single-fluid model (Figure 8 ) the ratio is largely insensitive to α and is peaked sharply at ∼1–1.25 although the distribution peaks at slightly higher values for the β = 1 case (∼1.5). Note that the uniform heating results (whose median is denoted by the vertical purple line near ∼0.6) show emission measure ratios significantly less than those in the power-law cases, consistent with the reduced hot emission shown in Figure 3 . For electron heating (Figure 9 ) the ratio is again insensitive to α , but is narrower and falls off more quickly toward higher emission measure ratios. The β = 0 cases (for all α ) peak just above 0.5, with the β = 1 cases all peaking at slightly higher values just at or below 1. For ion heating (Figure 10 ), the β = 0 distributions peak at lower values compared to those with β = 1. Again the results are relatively insensitive to α . However, compared to the electron heating case, all of the distributions are much wider and peak at higher values, ∼1.75 for β = 0 and ∼2–2.5 for β = 1. Furthermore, in the β = 1 case, the α = −2.5 distribution peaks at lower values compared α = −1.5, −2.0. Turning to