feat: adds r_s and chi_zz_b functions
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@ -34,9 +34,10 @@ class LindhardDielectricTransverse(object):
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# want to convert to q = vf k, where k is wavevector in SI units
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# want to convert to q = vf k, where k is wavevector in SI units
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q = u_inverse_wavelength * (self.v_f * self.omega) / (self.c_light)
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q = u_inverse_wavelength * (self.v_f * self.omega) / (self.c_light)
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if u_inverse_wavelength < self.series_threshold * self.v_f / self.omega:
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# if u_inverse_wavelength < self.series_threshold * self.v_f / self.omega:
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return eps_series(q)
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# return eps_series(q)
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else:
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# else:
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# return eps_full_lindhard(q)
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return eps_full_lindhard(q)
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return eps_full_lindhard(q)
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def eps_series(q: float) -> complex:
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def eps_series(q: float) -> complex:
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@ -19,3 +19,18 @@ def get_chi_zz_e(eps: Callable[[float], complex]) -> Callable[[float], float]:
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return integral[0] / (z**3)
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return integral[0] / (z**3)
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return chi_zz_e
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return chi_zz_e
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def get_chi_zz_b(eps_t: Callable[[float], complex]) -> Callable[[float], float]:
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im_ref_s = pyewjn.noise.im_ref.get_im_ref_s(eps_t)
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def chi_zz_b(z: float) -> float:
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def integrand(y: float) -> float:
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return (y**2) * im_ref_s(y / z) * np.exp(-2 * y)
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integral = scipy.integrate.quad(
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integrand, 0, np.inf, epsabs=1e-10, epsrel=1e-10
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)
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return integral[0] / (z**3)
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return chi_zz_b
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@ -3,6 +3,7 @@ from typing import Callable
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import numpy as np
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import numpy as np
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import pyewjn.noise.zeta
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import pyewjn.noise.zeta
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import pyewjn.util
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def get_im_ref_p(eps: Callable[[float], complex]) -> Callable[[float], float]:
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def get_im_ref_p(eps: Callable[[float], complex]) -> Callable[[float], float]:
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@ -13,3 +14,19 @@ def get_im_ref_p(eps: Callable[[float], complex]) -> Callable[[float], float]:
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return np.imag((np.pi * 1j * u - zeta_p_val) / (np.pi * 1j * u + zeta_p_val))
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return np.imag((np.pi * 1j * u - zeta_p_val) / (np.pi * 1j * u + zeta_p_val))
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return im_ref_p
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return im_ref_p
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def get_im_ref_s(eps_t: Callable[[float], complex]) -> Callable[[float], float]:
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def integrand(kappa: float, u: float) -> complex:
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k_eff2 = kappa**2 + u**2
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k_eff4 = k_eff2**2
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k_eff = k_eff2 ** (1 / 2)
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return eps_t(k_eff) / k_eff4
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def im_ref_s(u: float) -> float:
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integral = pyewjn.util.complex_quad(
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lambda kappa: integrand(kappa, u), 0, np.inf, epsabs=1e-12
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)
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return (1 / (4 * u**2)) * ((4 * u**3 * integral) - 1)
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return im_ref_s
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27
tests/dielectric/test_lindhard_dielectric_transverse.py
Normal file
27
tests/dielectric/test_lindhard_dielectric_transverse.py
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@ -0,0 +1,27 @@
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import pyewjn.dielectric
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import numpy as np
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import pytest
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from pyewjn.baskets import CalculationParams
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def get_common_lindhard_dielectric():
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params = CalculationParams(omega=1e9, omega_p=3.5e15, tau=1e-14, v_f=2e6)
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return pyewjn.dielectric.get_lindhard_dielectric_transverse(params)
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@pytest.mark.skip(reason="Not actually correct values")
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@pytest.mark.parametrize(
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"test_input,expected",
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[
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(10, -1222.185185062794 + 1.2249999998777178e8j),
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(1000, 16924.14814718176 + 1.2250000020552777e8j),
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(1e8, 83.687499999706 + 0.00022417398943752126j),
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],
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)
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def test_lindhard_dielectric_transverse(test_input, expected):
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eps_to_test = get_common_lindhard_dielectric()
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np.testing.assert_almost_equal(
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eps_to_test(test_input), expected, decimal=6, err_msg="b function is off"
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)
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