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These are the Cluster Greensfunctions that were used in the paper "Applicability and limiations of Cluster Perturbation Theory for Hubbard models" published as part of the special edition “S.I.: Non-Equilibrium Quantum Physics, Many Body Systems, and Foundations of Quantum Mechanics” in the European Journal of Phyiscs in 2023. The Greensfunctions were generated via a Chebyshev expansion and are currently in a real space representation. You may use python and import them via numpy as follows: ```console import numpy as np MC = <number_of_sites> # Here you have to add the number of cluster sites (e.g. 16 for a 4x4 cluster) greensfunctions = np.genfromtxt("<file_name>") greensfunctions = greensfunctions.reshape(greensfunctions.shape[0], MC, MC) ``` This way you obtain a tensor where the first dimension corresponds to the frequency and the other two to the real space indices. For further questions please contact the corresponding author Nicklas Enenkel via E-mail (nicklas.enenkel@quantumsimulations.de)
This work was supported by the BMBF via the grant no. 13N15576
Hubbard model, Cluster Perturbation Theory
Hubbard model, Cluster Perturbation Theory
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