# The Millennium Simulation 1st and 2nd most massive progenitor distributions # plotted in Fig. 4 of Cole, Helly Frenk and Parkinson (astro-ph/07081376) # MNRAS accepted # # There are 12 datasets corresponding to the 12 panels and labelled by the # values of M2 and z1. See the figure caption and the paper for full details # #M2=1.000e+12 z1=4.0 #log(M1/M2) log(f1st) log(f2nd) -1.900e+00 -4.456e+00 -3.225e+00 -1.700e+00 -2.681e+00 -1.817e+00 -1.500e+00 -1.736e+00 -1.245e+00 -1.300e+00 -1.204e+00 -1.158e+00 -1.100e+00 -9.382e-01 -1.445e+00 -9.000e-01 -8.880e-01 -2.175e+00 -7.000e-01 -1.072e+00 -3.438e+00 -5.000e-01 -1.757e+00 -4.699e+00 -3.000e-01 -3.393e+00 -1.000e+01 -1.000e-01 -1.000e+01 -1.000e+01 # #M2=1.000e+12 z1=4.0 #log(M1/M2) log(f1st) log(f2nd) -1.900e+00 -5.000e+00 -3.810e+00 -1.700e+00 -4.097e+00 -2.512e+00 -1.500e+00 -3.658e+00 -1.881e+00 -1.300e+00 -3.215e+00 -1.384e+00 -1.100e+00 -2.081e+00 -9.577e-01 -9.000e-01 -1.130e+00 -7.652e-01 -7.000e-01 -5.557e-01 -1.006e+00 -5.000e-01 -2.422e-01 -1.936e+00 -3.000e-01 -3.085e-01 -2.783e+00 -1.000e-01 -1.759e+00 -4.456e+00 1.000e-01 -4.824e+00 -1.000e+01 3.000e-01 -1.000e+01 -1.000e+01 # #M2=1.000e+12 z1=1.0 #log(M1/M2) log(f1st) log(f2nd) -1.900e+00 -5.301e+00 -3.403e+00 -1.700e+00 -4.155e+00 -2.271e+00 -1.500e+00 -3.668e+00 -1.795e+00 -1.300e+00 -3.462e+00 -1.510e+00 -1.100e+00 -3.352e+00 -1.250e+00 -9.000e-01 -2.796e+00 -9.855e-01 -7.000e-01 -1.534e+00 -7.678e-01 -5.000e-01 -5.891e-01 -9.367e-01 -3.000e-01 3.583e-02 -1.821e+00 -1.000e-01 1.311e-01 -2.392e+00 1.000e-01 -1.998e+00 -4.260e+00 3.000e-01 -3.211e+00 -1.000e+01 5.000e-01 -4.398e+00 -1.000e+01 7.000e-01 -1.000e+01 -1.000e+01 # #M2=1.000e+12 z1=0.5 #log(M1/M2) log(f1st) log(f2nd) -1.900e+00 -5.301e+00 -3.187e+00 -1.700e+00 -4.155e+00 -2.153e+00 -1.500e+00 -3.699e+00 -1.783e+00 -1.300e+00 -3.523e+00 -1.581e+00 -1.100e+00 -3.387e+00 -1.407e+00 -9.000e-01 -3.229e+00 -1.223e+00 -7.000e-01 -2.684e+00 -1.011e+00 -5.000e-01 -1.292e+00 -8.991e-01 -3.000e-01 -3.232e-01 -1.538e+00 -1.000e-01 4.747e-01 -2.099e+00 1.000e-01 -9.150e-01 -3.757e+00 3.000e-01 -2.209e+00 -1.000e+01 5.000e-01 -3.444e+00 -1.000e+01 7.000e-01 -1.000e+01 -1.000e+01 # #M2=3.160e+13 z1=4.0 #log(M1/M2) log(f1st) log(f2nd) -3.300e+00 -1.000e+01 -1.000e+01 -3.100e+00 -1.000e+01 -1.000e+01 -2.900e+00 -1.000e+01 -1.000e+01 -2.700e+00 -5.301e+00 -5.301e+00 -2.500e+00 -5.301e+00 -1.000e+01 -2.300e+00 -4.699e+00 -3.745e+00 -2.100e+00 -3.081e+00 -2.327e+00 -1.900e+00 -2.082e+00 -1.616e+00 -1.700e+00 -1.538e+00 -1.459e+00 -1.500e+00 -1.333e+00 -1.717e+00 -1.300e+00 -1.341e+00 -2.298e+00 -1.100e+00 -1.559e+00 -3.481e+00 -9.000e-01 -2.028e+00 -1.000e+01 -7.000e-01 -3.048e+00 -1.000e+01 # #M2=3.160e+13 z1=2.0 #log(M1/M2) log(f1st) log(f2nd) -3.300e+00 -1.000e+01 -1.000e+01 -3.100e+00 -5.301e+00 -5.301e+00 -2.900e+00 -5.301e+00 -5.301e+00 -2.700e+00 -5.301e+00 -5.301e+00 -2.500e+00 -5.000e+00 -1.000e+01 -2.300e+00 -5.000e+00 -4.699e+00 -2.100e+00 -5.301e+00 -4.398e+00 -1.900e+00 -4.699e+00 -3.155e+00 -1.700e+00 -4.523e+00 -2.403e+00 -1.500e+00 -3.297e+00 -1.657e+00 -1.300e+00 -1.972e+00 -1.077e+00 -1.100e+00 -1.130e+00 -8.623e-01 -9.000e-01 -7.029e-01 -1.113e+00 -7.000e-01 -5.221e-01 -2.090e+00 -5.000e-01 -6.458e-01 -1.000e+01 -3.000e-01 -1.573e+00 -1.000e+01 -1.000e-01 -1.000e+01 -1.000e+01 # #M2=3.160e+13 z1=1.0 #log(M1/M2) log(f1st) log(f2nd) -3.300e+00 -1.000e+01 -1.000e+01 -3.100e+00 -5.301e+00 -5.301e+00 -2.900e+00 -5.301e+00 -5.301e+00 -2.700e+00 -5.301e+00 -5.301e+00 -2.500e+00 -4.824e+00 -4.699e+00 -2.300e+00 -5.000e+00 -4.071e+00 -2.100e+00 -5.301e+00 -3.337e+00 -1.900e+00 -5.000e+00 -2.771e+00 -1.700e+00 -4.523e+00 -2.246e+00 -1.500e+00 -4.347e+00 -1.836e+00 -1.300e+00 -4.523e+00 -1.481e+00 -1.100e+00 -3.319e+00 -1.109e+00 -9.000e-01 -1.906e+00 -7.821e-01 -7.000e-01 -8.936e-01 -7.157e-01 -5.000e-01 -2.899e-01 -1.326e+00 -3.000e-01 4.306e-02 -2.673e+00 -1.000e-01 -4.468e-01 -1.000e+01 1.000e-01 -1.000e+01 -1.000e+01 # #M2=3.160e+13 z1=0.5 #log(M1/M2) log(f1st) log(f2nd) -3.100e+00 -1.000e+01 -5.301e+00 -2.900e+00 -5.301e+00 -5.301e+00 -2.700e+00 -5.301e+00 -4.824e+00 -2.500e+00 -4.824e+00 -3.810e+00 -2.300e+00 -4.824e+00 -3.237e+00 -2.100e+00 -5.301e+00 -2.744e+00 -1.900e+00 -4.602e+00 -2.330e+00 -1.700e+00 -4.523e+00 -2.009e+00 -1.500e+00 -4.347e+00 -1.730e+00 -1.300e+00 -4.456e+00 -1.505e+00 -1.100e+00 -4.187e+00 -1.306e+00 -9.000e-01 -3.301e+00 -1.057e+00 -7.000e-01 -2.081e+00 -8.122e-01 -5.000e-01 -8.384e-01 -8.547e-01 -3.000e-01 -6.899e-02 -1.924e+00 -1.000e-01 3.383e-01 -3.244e+00 1.000e-01 -1.467e+00 -1.000e+01 3.000e-01 -1.000e+01 -1.000e+01 # #M2=1.000e+15 z1=4.0 #log(M1/M2) log(f1st) log(f2nd) -2.700e+00 -1.000e+01 -3.699e+00 -2.500e+00 -2.790e+00 -2.380e+00 -2.300e+00 -2.055e+00 -1.867e+00 -2.100e+00 -1.893e+00 -2.279e+00 -1.900e+00 -2.026e+00 -2.637e+00 -1.700e+00 -2.056e+00 -3.058e+00 -1.500e+00 -2.848e+00 -1.000e+01 -1.300e+00 -1.000e+01 -1.000e+01 # #M2=1.000e+15 z1=2.0 #log(M1/M2) log(f1st) log(f2nd) -1.900e+00 -1.000e+01 -2.424e+00 -1.700e+00 -2.324e+00 -1.462e+00 -1.500e+00 -1.489e+00 -1.161e+00 -1.300e+00 -1.106e+00 -1.538e+00 -1.100e+00 -9.012e-01 -1.742e+00 -9.000e-01 -1.074e+00 -1.918e+00 -7.000e-01 -2.031e+00 -1.000e+01 -5.000e-01 -1.000e+01 -1.000e+01 # #M2=1.000e+15 z1=1.0 #log(M1/M2) log(f1st) log(f2nd) -2.100e+00 -1.000e+01 -3.292e+00 -1.500e+00 -1.000e+01 -1.864e+00 -1.300e+00 -1.000e+01 -1.606e+00 -1.100e+00 -2.209e+00 -7.686e-01 -9.000e-01 -9.742e-01 -7.205e-01 -7.000e-01 -3.805e-01 -1.100e+00 -5.000e-01 -2.662e-01 -1.000e+01 -3.000e-01 -7.332e-01 -1.000e+01 -1.000e-01 -1.000e+01 -1.000e+01 # #M2=1.000e+15 z1=0.5 #log(M1/M2) log(f1st) log(f2nd) -2.100e+00 -1.000e+01 -3.462e+00 -1.900e+00 -1.000e+01 -2.317e+00 -1.700e+00 -1.000e+01 -1.959e+00 -1.500e+00 -1.000e+01 -2.367e+00 -1.300e+00 -1.000e+01 -1.544e+00 -1.100e+00 -1.000e+01 -1.122e+00 -9.000e-01 -1.000e+01 -8.654e-01 -7.000e-01 -1.210e+00 -7.420e-01 -5.000e-01 -4.011e-01 -8.363e-01 -3.000e-01 1.253e-01 -1.000e+01 -1.000e-01 -1.695e-01 -1.000e+01 1.000e-01 -1.000e+01 -1.000e+01