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Python Source Code - 7.9 KB - MD5: 21fd1b6aa3e6be4ef1aeb5dc4c075a3e
plots
Computes Δχ (Eq. 9 from the paper) and produces Fig. 5. Uses data produced by Sigma-fit-av2.py.
Adobe PDF - 28.1 KB - MD5: 23dc79e9ea8f4fae93c5b7f9b20af26a
plots
Fig 5a.
Fixed Field Text Data - 3.3 KB - MD5: f8e1fa2a93c191725269b13668008aac
Observables resulting from the DMFT calculation. Spin-down.
Fixed Field Text Data - 3.3 KB - MD5: 5ef889b5c10a027698aa8ca91f12d344
Observables resulting from the DMFT calculation. Spin-down.
Fixed Field Text Data - 3.3 KB - MD5: d988304224525bfe85ed641c2f5faf0a
Observables resulting from the DMFT calculation. Spin-down.
Fixed Field Text Data - 3.3 KB - MD5: 712c6d6bf234dcdfe039ee83b6e3a0d4
Observables resulting from the DMFT calculation. Spin-down.
Fixed Field Text Data - 3.3 KB - MD5: 8a43e862eefb9615fd5d0fea2965d3f9
Observables resulting from the DMFT calculation. Spin-down.
Fixed Field Text Data - 3.3 KB - MD5: 03964aa9ffc2f07df6bfcf8b9aa94163
Observables resulting from the DMFT calculation. Spin-down.
Fixed Field Text Data - 3.0 KB - MD5: 82930590dddb1a5c2710b9a85666c1da
Observables resulting from the DMFT calculation. Spin-down.
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