# The Millennium Simulation conditional mass function data plotted in Fig. 1 # 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(f_cmf) -1.900e+00 -1.881e+00 -1.700e+00 -1.033e+00 -1.500e+00 -8.327e-01 -1.300e+00 -8.077e-01 -1.100e+00 -8.111e-01 -9.000e-01 -8.650e-01 -7.000e-01 -1.069e+00 -5.000e-01 -1.756e+00 -3.000e-01 -3.387e+00 -1.000e-01 -1.000e+01 # #M2= 1.000e+12 z1=2.0 # log(M1/M2) log(f_cmf) -1.900e+00 -2.049e+00 -1.700e+00 -1.121e+00 -1.500e+00 -8.480e-01 -1.300e+00 -7.463e-01 -1.100e+00 -6.598e-01 -9.000e-01 -5.543e-01 -7.000e-01 -4.185e-01 -5.000e-01 -2.331e-01 -3.000e-01 -3.066e-01 -1.000e-01 -1.756e+00 1.000e-01 -4.824e+00 3.000e-01 -1.000e+01 # #M2= 1.000e+12 z1=1.0 # log(M1/M2) log(f_cmf) -1.900e+00 -2.330e+00 -1.700e+00 -1.386e+00 -1.500e+00 -1.110e+00 -1.300e+00 -1.005e+00 -1.100e+00 -9.140e-01 -9.000e-01 -8.073e-01 -7.000e-01 -6.585e-01 -5.000e-01 -4.235e-01 -3.000e-01 4.208e-02 -1.000e-01 1.327e-01 1.000e-01 -1.992e+00 3.000e-01 -3.208e+00 5.000e-01 -4.398e+00 7.000e-01 -1.000e+01 # #M2= 1.000e+12 z1=0.5 # log(M1/M2) log(f_cmf) -1.900e+00 -2.555e+00 -1.700e+00 -1.627e+00 -1.500e+00 -1.368e+00 -1.300e+00 -1.274e+00 -1.100e+00 -1.186e+00 -9.000e-01 -1.083e+00 -7.000e-01 -9.456e-01 -5.000e-01 -7.429e-01 -3.000e-01 -2.967e-01 -1.000e-01 4.759e-01 1.000e-01 -9.140e-01 3.000e-01 -2.206e+00 5.000e-01 -3.438e+00 7.000e-01 -1.000e+01 # #M2= 3.160e+13 z1=4.0 # log(M1/M2) log(f_cmf) -3.500e+00 -3.530e+00 -3.300e+00 -1.490e+00 -3.100e+00 -1.041e+00 -2.900e+00 -9.623e-01 -2.700e+00 -9.475e-01 -2.500e+00 -9.446e-01 -2.300e+00 -9.586e-01 -2.100e+00 -9.794e-01 -1.900e+00 -1.013e+00 -1.700e+00 -1.075e+00 -1.500e+00 -1.168e+00 -1.300e+00 -1.295e+00 -1.100e+00 -1.553e+00 -9.000e-01 -2.027e+00 -7.000e-01 -3.073e+00 -5.000e-01 -1.000e+01 # #M2= 3.160e+13 z1=2.0 # log(M1/M2) log(f_cmf) -3.500e+00 -3.810e+00 -3.300e+00 -1.670e+00 -3.100e+00 -1.156e+00 -2.900e+00 -1.022e+00 -2.700e+00 -9.679e-01 -2.500e+00 -9.297e-01 -2.300e+00 -8.918e-01 -2.100e+00 -8.559e-01 -1.900e+00 -8.125e-01 -1.700e+00 -7.749e-01 -1.500e+00 -7.313e-01 -1.300e+00 -6.788e-01 -1.100e+00 -6.115e-01 -9.000e-01 -5.569e-01 -7.000e-01 -5.102e-01 -5.000e-01 -6.463e-01 -3.000e-01 -1.574e+00 -1.000e-01 -1.000e+01 # #M2= 3.160e+13 z1=1.0 # log(M1/M2) log(f_cmf) -3.500e+00 -4.125e+00 -3.300e+00 -1.933e+00 -3.100e+00 -1.398e+00 -2.900e+00 -1.260e+00 -2.700e+00 -1.211e+00 -2.500e+00 -1.168e+00 -2.300e+00 -1.129e+00 -2.100e+00 -1.083e+00 -1.900e+00 -1.040e+00 -1.700e+00 -9.818e-01 -1.500e+00 -9.196e-01 -1.300e+00 -8.431e-01 -1.100e+00 -7.539e-01 -9.000e-01 -6.393e-01 -7.000e-01 -4.844e-01 -5.000e-01 -2.515e-01 -3.000e-01 4.346e-02 -1.000e-01 -4.472e-01 1.000e-01 -1.000e+01 # #M2= 3.160e+13 z1=0.5 # log(M1/M2) log(f_cmf) -3.500e+00 -4.347e+00 -3.300e+00 -2.143e+00 -3.100e+00 -1.618e+00 -2.900e+00 -1.494e+00 -2.700e+00 -1.447e+00 -2.500e+00 -1.413e+00 -2.300e+00 -1.380e+00 -2.100e+00 -1.340e+00 -1.900e+00 -1.293e+00 -1.700e+00 -1.245e+00 -1.500e+00 -1.180e+00 -1.300e+00 -1.104e+00 -1.100e+00 -1.036e+00 -9.000e-01 -9.084e-01 -7.000e-01 -7.451e-01 -5.000e-01 -5.429e-01 -3.000e-01 -6.244e-02 -1.000e-01 3.380e-01 1.000e-01 -1.472e+00 3.000e-01 -1.000e+01 # #M2= 1.000e+15 z1=4.0 # log(M1/M2) log(f_cmf) -4.900e+00 -2.425e+00 -4.700e+00 -1.379e+00 -4.500e+00 -1.073e+00 -4.300e+00 -1.032e+00 -4.100e+00 -1.016e+00 -3.900e+00 -1.023e+00 -3.700e+00 -1.039e+00 -3.500e+00 -1.059e+00 -3.300e+00 -1.091e+00 -3.100e+00 -1.128e+00 -2.900e+00 -1.176e+00 -2.700e+00 -1.275e+00 -2.500e+00 -1.332e+00 -2.300e+00 -1.395e+00 -2.100e+00 -1.709e+00 -1.900e+00 -1.894e+00 -1.700e+00 -1.998e+00 -1.500e+00 -2.831e+00 -1.300e+00 -1.000e+01 # #M2= 1.000e+15 z1=2.0 # log(M1/M2) log(f_cmf) -4.900e+00 -2.687e+00 -4.700e+00 -1.566e+00 -4.500e+00 -1.185e+00 -4.300e+00 -1.097e+00 -4.100e+00 -1.052e+00 -3.900e+00 -1.021e+00 -3.700e+00 -1.000e+00 -3.500e+00 -9.749e-01 -3.300e+00 -9.700e-01 -3.100e+00 -9.279e-01 -2.900e+00 -8.966e-01 -2.700e+00 -8.781e-01 -2.500e+00 -8.539e-01 -2.300e+00 -8.504e-01 -2.100e+00 -8.488e-01 -1.900e+00 -8.021e-01 -1.700e+00 -7.976e-01 -1.500e+00 -8.055e-01 -1.300e+00 -9.423e-01 -1.100e+00 -8.261e-01 -9.000e-01 -9.991e-01 -7.000e-01 -2.014e+00 -5.000e-01 -1.000e+01 # #M2= 1.000e+15 z1=1.0 # log(M1/M2) log(f_cmf) -4.900e+00 -2.985e+00 -4.700e+00 -1.829e+00 -4.500e+00 -1.430e+00 -4.300e+00 -1.324e+00 -4.100e+00 -1.276e+00 -3.900e+00 -1.255e+00 -3.700e+00 -1.220e+00 -3.500e+00 -1.194e+00 -3.300e+00 -1.178e+00 -3.100e+00 -1.144e+00 -2.900e+00 -1.097e+00 -2.700e+00 -1.069e+00 -2.500e+00 -1.023e+00 -2.300e+00 -9.923e-01 -2.100e+00 -9.230e-01 -1.900e+00 -8.851e-01 -1.700e+00 -8.999e-01 -1.500e+00 -8.101e-01 -1.300e+00 -7.332e-01 -1.100e+00 -5.490e-01 -9.000e-01 -4.931e-01 -7.000e-01 -2.881e-01 -5.000e-01 -2.496e-01 -3.000e-01 -7.166e-01 -1.000e-01 -1.000e+01 # #M2= 1.000e+15 z1=0.5 # log(M1/M2) log(f_cmf) -4.900e+00 -3.244e+00 -4.700e+00 -2.043e+00 -4.500e+00 -1.649e+00 -4.300e+00 -1.559e+00 -4.100e+00 -1.499e+00 -3.900e+00 -1.486e+00 -3.700e+00 -1.456e+00 -3.500e+00 -1.448e+00 -3.300e+00 -1.406e+00 -3.100e+00 -1.383e+00 -2.900e+00 -1.355e+00 -2.700e+00 -1.311e+00 -2.500e+00 -1.231e+00 -2.300e+00 -1.259e+00 -2.100e+00 -1.235e+00 -1.900e+00 -1.149e+00 -1.700e+00 -1.084e+00 -1.500e+00 -1.219e+00 -1.300e+00 -9.295e-01 -1.100e+00 -8.331e-01 -9.000e-01 -7.148e-01 -7.000e-01 -6.259e-01 -5.000e-01 -2.708e-01 -3.000e-01 1.290e-01 -1.000e-01 -1.529e-01 1.000e-01 -1.000e+01