Created
March 23, 2017 10:53
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| d['s2_bottom'] = d['s2'] * (1 - d['s2_area_fraction_top']) | |
| x_plot = np.linspace(0, 70, 100) | |
| def ly(dt): | |
| return 230 + 0*dt + 0.06*dt**2 | |
| avg_s1 = np.average([ly(dt) for dt in np.linspace(0, 59.5, 100)]) | |
| def s1_correction(dt_ns, avg_s1): | |
| dt = dt_ns*0.001 | |
| return avg_s1 / ly(dt) | |
| d['cs1'] = d['s1'] * s1_correction(d['drift_time'], avg_s1) | |
| plt.plot(x_plot, ly(x_plot)) |
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