#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]])