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27 lines
873 B
Python
27 lines
873 B
Python
from pytriqs.plot.mpl_interface import oplot
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from pytriqs.gf.local import GfImFreq, Omega, inverse
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g = GfImFreq(indices = [0], beta = 300, n_points = 1000, name = "g")
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g <<= inverse( Omega + 0.5 )
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# the data we want to fit...
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# The green function for omega \in [0,0.2]
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X,Y = g.x_data_view (x_window = (0,0.2), flatten_y = True )
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from pytriqs.fit import Fit, linear, quadratic
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fitl = Fit ( X,Y.imag, linear )
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fitq = Fit ( X,Y.imag, quadratic )
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oplot (g, '-o', x_window = (0,5) )
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oplot (fitl , '-x', x_window = (0,0.5) )
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oplot (fitq , '-x', x_window = (0,1) )
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# a bit more complex, we want to fit with a one fermion level ....
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# Cf the definition of linear and quadratic in the lib
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one_fermion_level = lambda X, a,b : 1/(a * X *1j + b), r"${1}/(%f x + %f)$" , (1,1)
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fit1 = Fit ( X,Y, one_fermion_level )
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oplot (fit1 , '-x', x_window = (0,3) )
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