Ancillary files for arXiv:1908.09398 For the fit model 3/2/1 we provide 50k posterior samples obtained from fits to a theory-only likelihood (th-only) and a likelihood with theoretical and all experimental constraints (th+all-exp): anc/pmc_321_th-only_50k.hdf5 anc/pmc_321_th+all-exp_50k.hdf5 The posterior samples can be accessed through the following few lines of Python code: import h5py f = h5py.File('anc/pmc_321_th-only_50k.hdf5', 'r') samples = f['/data/final/samples'][:] The first 23 (i=0..22) columnns of 'samples' correspond to the HQE parameters in the following order: xi'(1), xi''(1), xi'''(1), chi_2(1), chi_2'(1), chi_2''(1) chi_3'(1), chi_3''(1), eta(1), eta'(1), eta''(1) l_1(1), l_1'(1), l_2(1), l_2'(1), l_3(1), l_3'(1), l_4(1), l_4'(1), l_5(1), l_5'(1), l_6(1), l_6'(1) The 24th (i=23) column corresponds to the index of the generating component in the Population Monte Carlo algorithm. The 25th (i=24) column corresponds to the log(posterior) value, and the 26th (i=25) column corresponds to the log(weight) of the sample.