This dataset contains a part of the DMFT/QMC results for the example of the two-orbital Hubbard model shown in the article "Thermodynamic Stability at the Two-Particle Level". It contains additional statistically independent results (i.e. using multiple different PRNG seeds) for the two-particle Green's functions at inverse temperature beta = 50 and Hubbard interaction parameters U = 1.4920 and U = 1.4930. Other numerical results can be found in the main dataset listed under related identifiers and its other subdatasets.
All data files are zstd-compressed HDF5 output files as generated by w2dynamics for worm-sampling calculations of the two-particle Green's functions of the auxiliary impurity problem of two-orbital Hubbard models on a Bethe lattice with density-density interaction with fixed ratios between the interaction coefficients at inverse temperature beta = 50 and Hubbard interaction parameter U = 1.4920 or U = 1.4930. The individual file names contain the Hubbard-U interaction strength, e.g. 'U1.46' for U=1.46, the chemical potential μ, e.g. 'mu1.33380' for μ=1.3338, the letter 'u'(pward), 'd'(ownward), or 'i'(nstable) indicating a procedural detail that is related to the phase if the parameters of the solution are in the coexistence region (the corresponding phases are the insulating or strongly correlated metallic one, the weakly correlated metallic one, and the unstable metallic one respectively), and a PRNG seed index, e.g. 's2' for index 2. More detailed descriptions and instructions can be found in the included readme file or the technical remarks on the main dataset.
We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086).
Numerical calculation
The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre (www.lrz.de).
