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2 results for “Similarity transformation”
Figure data to "Continuous similarity transformation for critical phenomena: easy-axis antiferromagnetic XXZ model"
<p>This collection of data is complementary to the publication "Continuous similarity transformation for critical phenomena: easy-axis antiferromagnetic XXZ model", Matthias R. Walther, Dag-Björn Hering, Götz S. Uhrig, Kai P. Schmidt, arXiv:2211.05689 (https://arxiv.org/abs/2211.05689).</p> <p>It contains the data points calculated by the method of Continuous Similarity Transformation(CST) used in Figures 3,5,6,7 and 8 in the CSV-Format.</p> <p>For details on the CST, the used error estimates and physical quantities we refer the the publication.</p> <p>For details on the format we recommend the README.md file.</p>
Raw data to "Quantum melting of long-range ordered quantum antiferromagnets investigated by momentum-space continuous similarity transformations"
<p>This collection of data is complementary to the publication "Quantum melting of long-range ordered quantum antiferromagnets investigated by momentum-space continuous similarity transformations", Dag-Björn Hering, Matthias R. Walther, Kai P. Schmidt, Götz S. Uhrig, arXiv:2405.13768 (https://arxiv.org/abs/2405.13768).</p> <p>It contains three data sets:</p> <ul> <li>raw_data: Contains the results and metadata of individual CST runs in a ".json" format</li> <li>processed_data: Contains processed raw data in a “.pkl” format, where derived quantities are directly accessible (sublattice magnetization, second derivative of the ground-state energy) </li> <li>plot_data: Contains the data points used in Figs 4,6,7,8,910,11,12 and 13 in a “.csv” format</li> </ul> <p>For details on the CST, the used error estimates and physical quantities we refer the the publication.</p> <p>For details on the format, we recommend the README.md files.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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OpenNeuro
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