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https://github.com/triqs/dft_tools
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48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
from pytriqs.plot.mpl_interface import oplot
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from pytriqs.fit.fit import Fit, linear, quadratic
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from pytriqs.gf.local import *
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from pytriqs.gf.local.descriptors import iOmega_n
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g = GfImFreq(indices = [1], beta = 300, n_points = 1000, name = "g")
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g <<= inverse( iOmega_n + 0.5 )
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print " van plot"
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oplot (g, '-o', x_window = (0,3) )
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print "plot done"
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g<<= inverse( iOmega_n + 0.5 )
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print "ok ----------------------"
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from pytriqs.archive import HDFArchive
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R = HDFArchive('myfile.h5', 'r')
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for n, calculation in R.items() :
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#g = calculation['g']
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g <<= inverse( iOmega_n + 0.5 )
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print "pokokook"
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X,Y = g.x_data_view (x_window = (0,0.2), flatten_y = True )
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#fitl = Fit ( X,Y.imag, linear )
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g <<= inverse( iOmega_n + 0.5 )
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print " van plot"
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oplot (g, '-o', x_window = (0,3) )
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g <<= inverse( iOmega_n + 0.5 )
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print g
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g <<= inverse( iOmega_n + 0.5 )
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break
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ginv = inverse( g )
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print ginv
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sigma = iOmega_n - g
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#oplot (ginv, '-o', x_window = (0,3) )
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#break
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oplot (sigma, '-o', x_window = (0,3) )
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#oplot (fitl , '-x', x_window = (0,0.5) )
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#print n, fitl.param[0]
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