def get_data_Hofken1982(): vd = array([1.80, 1.10, 1.00, 0.90, 0.70, 1.00, 1.00, 1.30]) dp = array([0.26, 0.63, 0.70, 0.78, 1.10, 1.50, 2.20, 2.40]) vd_err = zeros(8) dp_err = zeros(8) return vd, vd_err, dp, dp_err def get_data_Hicks1982(): vd = array([0.711, 0.80]) dp = array([0.065, 0.065]) vd_err = array([0.229, 0.383]) dp_err = array([0.035, 0.035]) return vd, vd_err, dp, dp_err def get_data_Grosch1988(): vd = array([1.85, 1.30, 1.70]) dp = array([0.4, 1.1, 4.4]) vd_err = array([0.75, 0.40, 0.5]) dp_err = zeros(3) return vd, vd_err, dp, dp_err def get_data_Lorenz1989(): vd = array([0.34, 0.78, 0.92]) dp = array([0.75, 1.5, 3.5]) vd_err = array([0.35, 0.64, 0.76]) dp_err = array([0.25, 0.5, 1.5]) return vd, vd_err, dp, dp_err def get_data_Waraghai1989(): vd = array([1.500, 1.100, 0.860, 1.100, 0.93, 1.64]) dp = array([0.750, 1.500, 3.500, 6.500, 9.00, 10.00]) vd_err = array([0.34, 0.36, 0.39, 0.41, 0.70, 0.59]) dp_err = array([0.25, 0.50, 1.50, 1.50, 1.00, 0.00]) return vd, vd_err, dp, dp_err def get_data_Beswick1991a(): vd = array([1.15, 2.51, 1.93, 1.73, 1.83, 1.83, 1.36, 3.13, 3.65, 3.81, 3.23, 5.99, 9.40]) dp = array([3.00, 5.00, 7.00, 9.00, 11.0, 13.0, 15.0, 17.0, 19.0, 21.0, 23.0, 25.0, 27.0]) vd_err = array([ [0.57, 0.32, 0.20, 0.11, 0.10, 0.00, 0.15, 0.00, 0.00, 0.68, 1.09, 2.86, 6.37] , [0.94, 0.26, 0.26, 0.10, 0.10, 0.00, 0.11, 0.00, 0.00, 0.41, 0.99, 3.90, 3.60] ]) dp_err = zeros(13) return vd, vd_err, dp, dp_err def get_data_Beswick1991b(): vd = array([2.32, 3.01, 2.80, 5.77, 5.22, 5.91, 11.98, 9.22, 8.53, 5.77]) dp = array([7.0 , 9.0 , 11.0, 13.0, 15.0, 17.0, 19.0 , 21.0, 23.0, 25.0]) vd_err = array([ [0.07, 0.00, 0.00, 0.14, 0.69, 1.52, 2.76, 4.83, 7.59, 4.83] , [0.07, 0.00, 0.00, 0.14, 0.48, 1.59, 2.12, 3.48, 13.1, 17.9] ]) dp_err = zeros(10) return vd, vd_err, dp, dp_err def get_data_Gallagher1997(): vd = array([0.150, 0.030, 0.130, 0.180, 0.120, 0.110, 0.180, 0.300, 0.850, 0.850, 1.800, 2.300, 0.600, 7.000, 1.100, 1.200, 1.700, 0.700, 11.00, 1.300, 0.800]) dp = array([0.100, 0.110, 0.130, 0.140, 0.160, 0.180, 0.190, 0.210, 0.220, 0.250, 0.290, 0.320, 0.380, 0.420, 0.480, 0.530, 0.630, 0.830, 0.900, 1.200, 2.100]) vd_err = array([ [0.13, 0.02, 0.11, 0.08, 0.09, 0.10, 0.08, 0.12, 0.25, 0.23, 0.10, 0.10, 0.50, 4.7, 1.0, 1.1, 1.6, 0.6, 9.4, 1.2, 0.7] , [0.15, 0.12, 0.12, 0.22, 0.18, 0.19, 0.16, 0.30, 0.20, 0.20, 0.10, 0.10, 1.40, 2.0, 4.9, 4.8, 5.3, 6.3, 2.0, 9.7, 12.2] ]) dp_err = zeros(21) return vd, vd_err, dp, dp_err def get_data_Wyers1997(): vd = array([0.70]) dp = array([0.55]) vd_err = array([ [0.62] , [2.7] ]) dp_err = array([ [0.45] , [0.45] ]) return vd, vd_err, dp, dp_err def get_data_Buzorius2000(): vd = array([1.70]) dp = array([0.15]) vd_err = array([0.86]) dp_err = array([0.05]) return vd, vd_err, dp, dp_err def get_data_OuldDada2002(): vd = array([0.50]) dp = array([0.82]) vd_err = array([0.0]) dp_err = array([0.0]) return vd, vd_err, dp, dp_err def get_data_Gaman2004(): vd = array([0.43]) dp = array([0.05]) vd_err = array([0.06]) dp_err = zeros(1) return vd, vd_err, dp, dp_err def get_data_Gronholm2007(): vd = array([1.770, 1.490, 1.180, 1.230, 0.900, 0.940, 0.740, 0.620, 0.660, 0.990, 0.780, 0.690, 0.250]) dp = array([0.010, 0.015, 0.020, 0.025, 0.030, 0.040, 0.050, 0.060, 0.070, 0.080, 0.100, 0.100, 0.150]) vd_err = array([ [1.76, 1.12, 1.15, 0.92, 0.57, 0.67, 0.40, 0.47, 0.60, 0.87, 0.60, 0.51, 0.24] , [2.64, 0.97, 1.03, 0.85, 0.90, 0.59, 0.56, 0.49, 0.48, 0.73, 0.55, 0.37, 0.59] ]) dp_err = zeros(13) return vd, vd_err, dp, dp_err def get_data_Gronholm2009(): vd = array([0.470, 0.160, 0.060, 0.050, 0.100, 0.085]) dp = array([0.010, 0.020, 0.030, 0.040, 0.050, 0.060]) vd_err = array([ [0.24, 0.10, 0.03, 0.02, 0.015, 0.06] , [0.25, 0.18, 0.09, 0.08, 0.05, 0.04] ]) dp_err = zeros(6) return vd, vd_err, dp, dp_err def get_data_Vong2010(): vd = array([0.18, 0.29, 0.46, 0.63, 0.61, 0.38]) dp = array([0.26, 0.30, 0.33, 0.40, 0.49, 0.78]) vd_err = array([0.17, 0.17, 0.17, 0.55, 0.55, 0.55]) dp_err = array([ [0.014, 0.02, 0.02, 0.06, 0.05, 0.24 ] , [0.02, 0.01, 0.01, 0.04, 0.05, 0.23] ]) return vd, vd_err, dp, dp_err def get_data_Mammarella2011(): vd = array([0.4, 0.34, 0.29, 0.26, 0.21, 0.17, 0.14, 0.12, 0.08, 0.07, 0.08, 0.084, 0.08, 0.11, 0.17, 0.20]) dp = array([0.02, 0.023, 0.028, 0.032, 0.039, 0.047, 0.054, 0.065, 0.075, 0.091, 0.11, 0.13, 0.17, 0.19, 0.21, 0.24]) vd_err = zeros(16) dp_err = zeros(16) return vd, vd_err, dp, dp_err def get_data_Gordon2011(): vd = array([0.40, 0.58, 0.39, 0.26, 0.16, 0.12, 0.11, 0.105, 0.10, 0.095, 0.09, 0.09, 0.08, 0.58, 0.46]) dp = array([0.017, 0.024, 0.029, 0.035, 0.043, 0.052, 0.062, 0.076, 0.091, 0.11, 0.133, 0.16, 0.194, 0.282, 0.34]) vd_err = zeros(15) dp_err = zeros(15) return vd, vd_err, dp, dp_err def get_data_Lavi2013(): vd = array([0.38, 0.48, 0.57, 0.70, 0.68, 0.64, 0.52, 0.51]) dp = array([0.265, 0.290, 0.325, 0.375, 0.425, 0.475, 0.540, 0.615]) vd_err = array([0.45, 0.58, 0.71, 0.85, 0.82, 0.73, 0.56, 0.51]) # vd_err = zeros(8) dp_err = array([0.015, 0.010, 0.025, 0.025, 0.025, 0.025, 0.040, 0.035]) return vd, vd_err, dp, dp_err def get_data_Sun2014(): vd = array([1.1]) dp = array([0.55]) vd_err = array([1.0]) dp_err = array([0.45]) return vd, vd_err, dp, dp_err def get_data_Zhang2014(): vd = array([0.924, 1.58, 4.3, 3.6, 5.5, 3.8, 4.3, 13.0]) dp = array([1.0, 2.75, 4., 7.5, 17.5, 22.5, 27.5, 40.]) vd_err = array([ [0.67, 1.08, 3.2, 0.0, 1.3, 0.1, 0.1, 3.5] , [4., 4.12, 2.7, 4.4, 14.5, 11.2, 7.2, 12] ]) dp_err = zeros(8) return vd, vd_err, dp, dp_err def get_data_Pryor2007(): vd = array([0.415, 0.30, 0.22, 0.20, 0.17, 0.16, 0.15, 0.145]) dp = array([0.015, 0.025, 0.035, 0.045, 0.055, 0.065, 0.075, 0.085]) vd_err = array([ [0.19, 0.15, 0.10, 0.09, 0.08, 0.075, 0.07, 0.07] , [0.8, 0.55, 0.45, 0.4, 0.35, 0.34, 0.305, 0.3] ]) dp_err = array([0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005]) return vd, vd_err, dp, dp_err def get_data_Deventer2015(): vd = array([0.35, 0.30, 0.05, 0.04, 0.13, 0.33, 0.46, 0.87, 0.82, 0.29]) dp = array([0.01, 0.02, 0.04, 0.07, 0.12, 0.20, 0.31, 0.48, 0.76, 1.23]) vd_err = array([ [0.52, 0.83, 0.60, 0.40, 0.37, 0.35, 0.35, 0.62, 0.99, 1.36] , [0.64, 0.79, 0.56, 0.45, 0.40, 0.34, 0.36, 0.62, 0.92, 1.57] ])