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A metallic waveguide mode solver

Project description

PyMWM

PyPI version Anaconda Version

PyMWM is a metallic waveguide mode solver written in Python.

It provides the dispersion relation, i.e. the relation between propagation constant β = α + iγ (with phase constant α and attenuation constant γ) and angular frequency ω, for cylindrical waveguide and planer waveguide (slits). It also provides the distribution of mode fields. Codes for coaxial waveguides are under development.

Version

0.1.0

Install

Install and update using pip

$ pip install -U pymwm

Install using conda

$ conda install -c mnishida pymwm

Dependencies

  • python 3
  • numpy
  • scipy
  • pandas
  • pytables
  • ray
  • matplotlib
  • pyoptmat

Uninstall

$ pip uninstall pymwm

or

$ conda uninstall pymwm

Usage

Let's consider a cylindrical waveguide whose radius is 0.15μm filled with water (refractive index : 1.333) surrounded by gold. You can specify the materials by the parameters for PyOptMat. Wavelength range is set by the parameters 'wl_min' (which is set 0.5 μm here) and 'wl_max' (1.0 μm). PyMWM compute the dispersion relation the two complex values, ω (complex angular frequency) and β (propagation constant). The range of the imaginary part of ω is set from -2π/wl_imag to 0 with the parameter 'wl_imag'. Usually, the cylindrical waveguide mode is specified by two integers, n and m. The number of sets indexed by n and m are indicated by the parameters 'num_n' and 'num_m', respectively.

>>> import pymwm
>>> params = {
     'core': {'shape': 'cylinder', 'size': 0.15, 'fill': {'RI': 1.333}},
     'clad': {'model': 'gold_dl'},
     'bounds': {'wl_max': 1.0, 'wl_min': 0.5, 'wl_imag': 10.0},
     'modes': {'num_n': 6, 'num_m': 2}
     }
>>> wg = pymwm.create(params)

If the parameters are set for the first time, the creation of waveguide-mode object will take a quite long time, because a sampling survey of βs in the complex plane of ω will be conducted and the obtained data is registered in the database. The second and subsequent creations are done instantly. You can check the obtained waveguide modes in the specified range by showing the attribute 'modes';

>>> wg.modes
{'h': [('E', 1, 1),
  ('E', 2, 1),
  ('E', 3, 1),
  ('E', 4, 1),
  ('M', 0, 1),
  ('M', 1, 1)],
 'v': [('E', 0, 1),
  ('E', 1, 1),
  ('E', 2, 1),
  ('E', 3, 1),
  ('E', 4, 1),
  ('M', 1, 1)]}

where 'h' ('v') means that the modes have horizontally (vertically) oriented electric fields on the x axis. The tuple (pol, n, m) with pol being 'E' or 'M' indicates TE-like or TM-like mode indexed by n and m. You can get β at ω=8.0 rad/μm for TM-like mode with n=0 and m=1 by

>>> wg.beta(8.0, ('M', 0, 1))
(0.06187318716518497+10.363105296313996j)

and for TE-like mode with n=1 and m=2 by

>>> wg.beta(8.0, ('E', 1, 2))
(0.14261514314942403+19.094726281995463j)

For more information, see the examples notebook.

Examples

Cylindrical waveguide

Propagation constants

phase constant attenuation constant

Electric field and magnetic field distributions

  • TE01 TE01 electric field TE01 magnetic field
  • HE11 HE11 electric field HE11 magnetic field
  • HE12 HE12 electric field HE12 magnetic field
  • HE21 HE21 electric field HE21 magnetic field
  • HE31 HE31 electric field HE31 magnetic field
  • TM01 TM01 electric field TM01 magnetic field
  • TM02 TM02 electric field TM02 magnetic field
  • EH11 EH11 electric field EH11 magnetic field
  • EH21 EH21 electric field EH21 magnetic field

Slit waveguide

Propagation constants

phase constant (slit) attenuation constant (slit)

Electric field and magnetic field distributions

  • TE1 TE1 electric field TE1 magnetic field
  • TE2 TE2 electric field TE2 magnetic field
  • TE3 TE3 electric field TE3 magnetic field
  • TE4 TE4 electric field TE4 magnetic field
  • TM0 TM0 electric field TM0 magnetic field
  • TM1 TM1 electric field TM1 magnetic field
  • TM2 TM2 electric field TM2 magnetic field
  • TM3 TM3 electric field TM3 magnetic field

Ey, Hx and Hz distributions on x axis

  • TE1 TE1 Ey TE1 Hx TE1 Hz
  • TE2 TE2 Ey TE2 Hx TE2 Hz
  • TE3 TE3 Ey TE3 Hx TE3 Hz
  • TE4 TE4 Ey TE4 Hx TE4 Hz

Ex, Ez and Hy distributions on x axis

  • TM0 TM0 Ex TM0 Ez TM0 Hy
  • TM1 TM1 Ex TM1 Ez TM1 Hy
  • TM2 TM2 Ex TM2 Ez TM2 Hy
  • TM3 TM3 Ex TM3 Ez TM3 Hy

Project details


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Source Distribution

pymwm-0.1.0.tar.gz (6.0 MB view hashes)

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