99
1010def selectomega (omega ):
1111 assert np .size (omega )== 2 , "Should have 2 entries..."
12+ print "Omegas:"
13+ print omega
1214 return omega [1 ]
1315
1416def findomegasystem (Z ):
@@ -63,9 +65,9 @@ def normalise(R, T, targets, verbose=False, exact=None):
6365 return roots [minind ]
6466
6567
66- Tend = 4 .0
68+ Tend = 8 .0
6769nslices = int (Tend )
68- Nsamples = 80
70+ Nsamples = 16
6971k_vec = np .linspace (0.0 , np .pi , Nsamples + 1 , endpoint = False )
7072k_vec = k_vec [1 :]
7173
@@ -76,8 +78,8 @@ def normalise(R, T, targets, verbose=False, exact=None):
7678amp_factor = np .zeros ((2 ,Nsamples ))
7779targets = np .zeros ((2 ,Nsamples ), dtype = 'complex' )
7880
79- imax = 21
80- # imax = Nsamples
81+ # imax = 21
82+ imax = Nsamples
8183for i in range (0 ,imax ):
8284 print ("---- i = %2i ---- " % i )
8385 Lmat = - 1j * k_vec [i ]* np .array ([ [Uadv , cspeed ], [cspeed , Uadv ] ], dtype = 'complex' )
@@ -89,9 +91,11 @@ def normalise(R, T, targets, verbose=False, exact=None):
8991
9092 # analytic frequencies match frequencies computed from unit interval system
9193 omegas_unit = findomegasystem (stab_unit )
92- phase [0 ,i ] = Uadv + cspeed
94+ phase [0 ,i ] = Uadv + cspeed
9395 phase [1 ,i ] = selectomega (omegas_unit ).real / k_vec [i ]
94-
96+ print omegas_unit .real / k_vec [i ]
97+ amp_factor [0 ,i ] = 1.0
98+ amp_factor [1 ,i ] = np .exp (selectomega (omegas_unit ).imag )
9599 # diagonalise unit system and verify that frequencies do not change
96100 Dunit , Vunit = np .linalg .eig (stab_unit )
97101 #Dunit = np.sort(Dunit)
@@ -115,9 +119,9 @@ def normalise(R, T, targets, verbose=False, exact=None):
115119
116120 D = np .sort (D )
117121 Dtilde = np .zeros (2 , dtype = 'complex' )
118- for j in range (0 ,2 ):
119- Dtilde [j ] = normalise (D [j ], Tend , targets = targets [:,i ], verbose = True , exact = Dunit )
120- # Dtilde[j ] = normalise(D[j ], Tend, targets=Dunit, verbose=False)
122+ for jj in range (0 ,2 ):
123+ # Dtilde[j] = normalise(D[j], Tend, targets=targets[:,i], verbose=True, exact=Dunit)
124+ Dtilde [jj ] = normalise (D [jj ], Tend , targets = Dunit , verbose = False )
121125 #Dtilde = np.sort(Dtilde)
122126 err_eigv = np .linalg .norm (Dtilde - Dunit , np .inf )
123127 print ("Defect between normalised and unit stability function eigenvalues: %5.3E" % err_eigv )
@@ -136,7 +140,7 @@ def normalise(R, T, targets, verbose=False, exact=None):
136140 omegas_diag_normalised = findomega (Dtilde )
137141 err_omega = np .linalg .norm (omegas_diag_unit - omegas_diag_normalised , np .inf )
138142 print ("Defect between frequencies from diagonalised normalised system and diagonalised unit intervall: %5.3E" % err_omega )
139- assert err_omega < 1e-12 , "Mismatch in frequencies..."
143+ # assert err_omega<1e-12, "Mismatch in frequencies..."
140144 # end of loop body over k_vec
141145
142146 print "------"
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