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Lindsey
50 lines
1.1 KiB
Python
50 lines
1.1 KiB
Python
import numpy as np
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from scipy.constants import mu_0, epsilon_0
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# useful params
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def omega(freq):
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"""Angular frequency, omega"""
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return 2.*np.pi*freq
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def k(freq, sigma, mu=mu_0, eps=epsilon_0):
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""" Eq 1.47 - 1.49 in Ward and Hohmann """
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w = omega(freq)
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alp = w * np.sqrt( mu*eps/2 * ( np.sqrt(1. + (sigma / (eps*w))**2 ) + 1) )
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beta = w * np.sqrt( mu*eps/2 * ( np.sqrt(1. + (sigma / (eps*w))**2 ) - 1) )
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return alp - 1j*beta
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# Constitutive relations
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def e_from_j(prob,j):
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eqLocs = prob._eqLocs
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if eqLocs is 'FE':
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MSigmaI = prob.MeSigmaI
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elif eqLocs is 'EF':
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MSigmaI = prob.MfRho
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return MSigmaI*j
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def j_from_e(prob,e):
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eqLocs = prob._eqLocs
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if eqLocs is 'FE':
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MSigma = prob.MeSigma
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elif eqLocs is 'EF':
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MSigma = prob.MfRhoI
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return MSigma*e
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def b_from_h(prob,h):
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eqLocs = prob._eqLocs
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if eqLocs is 'FE':
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MMu = prob.MfMuiI
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elif eqLocs is 'EF':
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MMu = prob.MeMu
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return MMu*h
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def h_from_b(prob,b):
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eqLocs = prob._eqLocs
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if eqLocs is 'FE':
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MMuI = prob.MfMui
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elif eqLocs is 'EF':
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MMuI = prob.MeMuI
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return MMuI*b
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