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Applicability and limiations of Cluster Perturbation Theory for Hubbard models

<p>These are the Cluster Greensfunctions that were used in the paper &quot;Applicability and limiations of Cluster<br> Perturbation Theory for Hubbard models&quot; published as part of the special edition &ldquo;S.I.: Non-Equilibrium Quantum<br> Physics, Many Body Systems, and Foundations of Quantum Mechanics&rdquo; in the European Journal of Phyiscs in 2023.<br> The Greensfunctions were generated via a Chebyshev expansion and are currently in a real space representation.<br> You may use python and import them via numpy as follows:</p> <p>```console<br> import numpy as np</p> <p>MC = &lt;number_of_sites&gt; # Here you have to add the number of cluster sites (e.g. 16 for a 4x4 cluster)</p> <p>greensfunctions = np.genfromtxt(&quot;&lt;file_name&gt;&quot;)<br> greensfunctions = greensfunctions.reshape(greensfunctions.shape[0], MC, MC)<br> ```</p> <p>This way you obtain a tensor where the first dimension corresponds to the frequency and the other two<br> to the real space indices.</p> <p>For further questions please contact the corresponding author Nicklas Enenkel via E-mail<br> (nicklas.enenkel@quantumsimulations.de)</p>

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40/100

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These five areas show where the dataset supports — or may limit — practical reuse.

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8
Harmonization
4
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20
Reuse readiness
8
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0

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