Dynamical mean field theory data for single band Hubbard model

Dynamical mean field theory (DMFT) data for the half filled repulsive single band Hubbard model on four lattices: cubic, diamond, hypercubic in \(d=\infty\), and hyperdiamond in \(d=\infty\). It is allowed for long range antiferromagnetic ordering, i.e., the self-consistency condition as seen in Eq. 97 of Georges et al., Rev. Mod. Phys. 68, 13 is used. The simulations are done for different temperatures between \(\beta t = 3\) and \(\beta t = 40\). The interaction \(U\) is chosen in steps of 0.1 centered around the respective Mott transitions. Available data are interacting Greens function on Matsubara frequencies self energy on Matsubara frequencies double occupation spin up and spin down occupation Data is generated using triqs 1.4 and the continous time quantum Monte Carlo application 1.4, compare homepage at https://triqs.ipht.cnrs.fr The data are used in the publication "First-order metal-insulator transitions in the extended Hubbard model due to self-consistent screening of the effective interaction" available on the arXiv (arXiv:1706.09644). There it is used to calculate derivatives of the double occupancy w.r.t. the interaction U. The data are available in hdf5 archives and can easily be accessed, e.g., with python and h5py. An example python script is included. Relevant input parameters are included in the h5 files