#High-nu(alpha) # r/a exp crit H_alpha= np.array([[0.5, 0.474, 0.44], [0.6, 0.412, 0.50], [0.7, 0.416, 0.64], [0.8, 1.28 , 1.27]]) #Medium-nu(alpha) # r/a exp crit M_alpha= np.array([[0.6, 0.392, 0.52], [0.7, 1.02 , 1.08], [0.8, 1.76 , 1.73]]) #Medium-nu(R/LTi) # r/a exp crit M_RLTi = np.array([[0.4, 1.85, 4.2, 1], [0.6, 2.37, 5.7, 1], [0.7, 2.07, 8.3, 0], [0.8, 2.25, 9.0, 0]]) #Low-nu(alpha) # r/a exp crit L_alpha = np.array([[0.4, 0.300, 0.43], [0.5, 0.387, 0.52], [0.6, 0.543, 0.60], [0.7, 0.486, 0.70], [0.8, 1.150, 1.30]]) #Low-nu(R/LTi) # r/a exp crit L_RLTi = np.array([[0.4, 0.79, 2.40, 1], [0.5, 1.53, 2.70, 1], [0.6, 4.59, 5.50, 1], [0.7, 5.22, 10.4, 1], [0.8, 4.55, 18.0, 0]]) #NSTX-U(alpha) # r/a exp crit U_alpha = np.array([[0.4, 0.325, 0.28], [0.5, 0.529, 0.40], [0.6, 0.695, 0.59], [0.7, 0.623, 0.61], [0.8, 0.883, 0.84], [0.9, 1.340, 1.31]]) #NSTX-U(R/LTi) # r/a exp crit U_RLTi = np.array([[0.4, 1.28, 3.10, 1], [0.5, 2.29, 2.75, 1], [0.6, 4.62, 5.56, 1], [0.7, 7.40, 30.0, 0], [0.8, 9.09, 36.0, 0], [0.9, 16.3, 65.0, 0]])