# This file contains the median and +/- one and two sigma IFMRs obtained in
# the paper "An empirical measurement of the initial-final mass relation with
# Gaia white dwarfs". The first column is M_initial in Msun. The next 5 columns
# give percentiles of M_WD in Msun. The percentiles are: 2.3, 15.9, 50, 84.1, 97.7.
# So for example, if you wanted to plot the median IFMR, you'd plot the first 
# column against the fourth one. If you wanted to show the 1-sigma credibility
# region, you'd plot the first column vs a fill between the 3rd and 5th column. Etc.
# 
# Our IFMR parameterization is piecewise-linear. The data here are not strictly 
# linear, but are produced as follows. We drew a large number of samples from the
# posterior distribution, and predicted the IFMR on a grid of M_initial (the first
# column) for each sample. Then we computed the percentiles at each gridpoint.  

0.950 0.497 0.501 0.505 0.509 0.513 
1.021 0.503 0.507 0.511 0.515 0.519 
1.092 0.510 0.514 0.517 0.521 0.526 
1.164 0.516 0.520 0.524 0.528 0.532 
1.235 0.522 0.526 0.530 0.534 0.538 
1.306 0.528 0.533 0.537 0.541 0.546 
1.377 0.534 0.539 0.543 0.548 0.553 
1.448 0.540 0.545 0.549 0.554 0.560 
1.520 0.546 0.551 0.556 0.561 0.568 
1.591 0.552 0.557 0.562 0.568 0.575 
1.662 0.557 0.563 0.569 0.575 0.582 
1.733 0.562 0.569 0.575 0.582 0.590 
1.805 0.568 0.575 0.581 0.589 0.597 
1.876 0.574 0.581 0.588 0.595 0.605 
1.947 0.579 0.587 0.594 0.602 0.612 
2.018 0.585 0.593 0.600 0.609 0.620 
2.089 0.590 0.599 0.607 0.616 0.628 
2.161 0.596 0.604 0.613 0.623 0.635 
2.232 0.601 0.610 0.619 0.630 0.643 
2.303 0.606 0.616 0.626 0.637 0.651 
2.374 0.612 0.622 0.632 0.644 0.659 
2.445 0.617 0.628 0.639 0.651 0.667 
2.517 0.623 0.634 0.645 0.658 0.678 
2.588 0.628 0.640 0.651 0.667 0.692 
2.659 0.633 0.646 0.658 0.677 0.705 
2.730 0.639 0.652 0.666 0.690 0.720 
2.802 0.644 0.658 0.675 0.703 0.735 
2.873 0.649 0.664 0.688 0.718 0.748 
2.944 0.655 0.674 0.700 0.732 0.763 
3.015 0.660 0.686 0.714 0.746 0.778 
3.086 0.667 0.697 0.727 0.760 0.791 
3.158 0.676 0.710 0.740 0.774 0.803 
3.229 0.685 0.721 0.752 0.787 0.811 
3.300 0.696 0.733 0.765 0.797 0.818 
3.371 0.707 0.745 0.778 0.806 0.825 
3.442 0.718 0.757 0.789 0.813 0.831 
3.514 0.729 0.769 0.799 0.819 0.836 
3.585 0.740 0.781 0.807 0.825 0.842 
3.656 0.751 0.792 0.813 0.831 0.847 
3.727 0.762 0.800 0.819 0.836 0.853 
3.798 0.772 0.807 0.825 0.841 0.859 
3.870 0.783 0.812 0.830 0.846 0.864 
3.941 0.792 0.818 0.834 0.851 0.869 
4.012 0.800 0.823 0.839 0.856 0.874 
4.083 0.808 0.828 0.844 0.861 0.879 
4.155 0.814 0.833 0.849 0.866 0.885 
4.226 0.821 0.837 0.854 0.871 0.890 
4.297 0.827 0.842 0.859 0.876 0.897 
4.368 0.831 0.847 0.863 0.881 0.903 
4.439 0.835 0.851 0.867 0.886 0.909 
4.511 0.839 0.855 0.872 0.892 0.917 
4.582 0.843 0.860 0.877 0.897 0.924 
4.653 0.847 0.864 0.881 0.903 0.934 
4.724 0.851 0.869 0.886 0.909 0.942 
4.795 0.855 0.873 0.891 0.916 0.952 
4.867 0.858 0.877 0.895 0.924 0.961 
4.938 0.861 0.881 0.900 0.932 0.970 
5.009 0.866 0.885 0.907 0.940 0.981 
5.080 0.870 0.890 0.913 0.950 0.991 
5.152 0.873 0.895 0.920 0.960 1.001 
5.223 0.878 0.899 0.928 0.970 1.011 
5.294 0.881 0.904 0.937 0.980 1.020 
5.365 0.885 0.909 0.947 0.990 1.030 
5.436 0.889 0.916 0.957 1.001 1.041 
5.508 0.893 0.922 0.967 1.012 1.051 
5.579 0.896 0.931 0.976 1.023 1.062 
5.650 0.901 0.939 0.987 1.034 1.072 
5.721 0.906 0.948 0.998 1.045 1.082 
5.792 0.911 0.958 1.009 1.056 1.093 
5.864 0.916 0.968 1.021 1.067 1.104 
5.935 0.924 0.979 1.031 1.079 1.115 
6.006 0.929 0.988 1.043 1.090 1.126 
6.077 0.938 0.997 1.055 1.101 1.137 
6.148 0.947 1.008 1.067 1.113 1.148 
6.220 0.955 1.017 1.079 1.124 1.159 
6.291 0.960 1.027 1.091 1.136 1.169 
6.362 0.969 1.038 1.103 1.147 1.180 
6.433 0.978 1.049 1.114 1.159 1.191 
6.505 0.987 1.061 1.126 1.170 1.201 
6.576 0.997 1.073 1.138 1.181 1.212 
6.647 1.006 1.085 1.149 1.193 1.223 
6.718 1.018 1.096 1.160 1.205 1.233 
6.789 1.027 1.108 1.172 1.217 1.244 
6.861 1.034 1.119 1.183 1.229 1.255 
6.932 1.042 1.130 1.195 1.240 1.265 
7.003 1.052 1.139 1.207 1.252 1.277 
7.074 1.060 1.150 1.219 1.264 1.288 
7.145 1.066 1.162 1.231 1.276 1.300 
7.217 1.073 1.173 1.243 1.288 1.311 
7.288 1.082 1.183 1.255 1.299 1.321 
7.359 1.090 1.193 1.267 1.311 1.332 
7.430 1.098 1.203 1.278 1.323 1.343 
7.502 1.108 1.214 1.290 1.336 1.354 
7.573 1.114 1.224 1.302 1.348 1.366 
7.644 1.121 1.233 1.314 1.360 1.377 
7.715 1.129 1.244 1.326 1.373 1.389 
7.786 1.137 1.253 1.338 1.385 1.400 
7.858 1.145 1.263 1.349 1.399 1.412 
7.929 1.152 1.274 1.362 1.411 1.424 
8.000 1.160 1.285 1.373 1.423 1.437