mirror of
https://github.com/triqs/dft_tools
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52 lines
1.1 KiB
Python
52 lines
1.1 KiB
Python
# Import the Green's functions
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from pytriqs.gf.local import GfImFreq, iOmega_n, inverse
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# Create the Matsubara-frequency Green's function and initialize it
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g = GfImFreq(indices = [1], beta = 50, n_points = 1000, name = "imp")
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g <<= inverse( iOmega_n + 0.5 )
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import pytriqs.utility.mpi as mpi
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mpi.bcast(g)
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#Block
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from pytriqs.gf.local import *
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g1 = GfImFreq(indices = ['eg1','eg2'], beta = 50, n_points = 1000, name = "egBlock")
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g2 = GfImFreq(indices = ['t2g1','t2g2','t2g3'], beta = 50, n_points = 1000, name = "t2gBlock")
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G = BlockGf(name_list = ('eg','t2g'), block_list = (g1,g2), make_copies = False)
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mpi.bcast(G)
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#imtime
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from pytriqs.gf.local import *
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# A Green's function on the Matsubara axis set to a semicircular
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gw = GfImFreq(indices = [1], beta = 50)
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gw <<= SemiCircular(half_bandwidth = 1)
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# Create an imaginary-time Green's function and plot it
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gt = GfImTime(indices = [1], beta = 50)
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gt <<= InverseFourier(gw)
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mpi.bcast(gt)
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##
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gt2 = GfImTime(indices = [1], beta = 50)
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gt2 = mpi.bcast(gt2)
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print gt2.tail.order_max
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print gt2.tail.order_min
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gw2 = GfImFreq(indices = [1], beta = 50)
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gw2 <<= Fourier(gt2)
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