"""
Typical usage
=================

To demonstrate the use of the Hankel Transform class, we will give an example
of propagating a radially-symmetric beam using the beam propagation method.

In this case, it will be a simple Gaussian beam propagating way from focus and
diverging.

"""

# %%
# First import the standard libraries
import matplotlib.pyplot as plt
import numpy as np

# %%
# Then the functions from this package
from pyhank import HankelTransform
from helper import gauss1d, imagesc


# %%
# Initialise radius grid
nr = 1024  # Number of sample points
r_max = 5e-3  # Maximum radius (5mm)
r = np.linspace(0, r_max, nr)

# %%
# Initialise :math:`z` grid
Nz = 200  # Number of z positions
z_max = 0.1  # Maximum propagation distance
z = np.linspace(0, z_max, Nz)  # Propagation axis

# %%
# Set up beam parameters
Dr = 100e-6  # Beam radius (100um)
lambda_ = 488e-9  # wavelength 488nm
k0 = 2 * np.pi / lambda_  # Vacuum k vector

# %%
# Set up a :class:`.HankelTransform` object, telling it the order (``0``) and
# the radial grid.
H = HankelTransform(order=0, radial_grid=r)

# %%
# Set up the electric field profile at :math:`z = 0`, and resample onto the correct radial grid
# (``transformer.r``) as required for the QDHT.
Er = gauss1d(r, 0, Dr)   # Initial field
ErH = H.to_transform_r(Er)  # Resampled field

# %%
# Perform Hankel Transform
# ------------------------

# Convert from physical field to physical wavevector
EkrH = H.qdht(ErH)

# %%
# Propagate the beam
# ------------------
# Do the propagation in a loop over :math:`z`

# Pre-allocate an array for field as a function of r and z
Erz = np.zeros((nr, Nz), dtype=complex)
kz = np.sqrt(k0 ** 2 - H.kr ** 2)
for i, z_loop in enumerate(z):
    phi_z = kz * z_loop  # Propagation phase
    EkrHz = EkrH * np.exp(1j * phi_z)  # Apply propagation
    ErHz = H.iqdht(EkrHz)  # iQDHT
    Erz[:, i] = H.to_original_r(ErHz)  # Interpolate output
Irz = np.abs(Erz) ** 2

# %%
# Plotting
# --------
# Plot the initial field and radial wavevector distribution (given by the
# Hankel transform)
plt.figure()
plt.plot(r * 1e3, np.abs(Er) ** 2, r * 1e3, np.unwrap(np.angle(Er)),
         H.r * 1e3, np.abs(ErH) ** 2, H.r * 1e3, np.unwrap(np.angle(ErH)), '+')
plt.title('Initial electric field distribution')
plt.xlabel('Radial co-ordinate (r) /mm')
plt.ylabel('Field intensity /arb.')
plt.legend(['$|E(r)|^2$', '$\\phi(r)$', '$|E(H.r)|^2$', '$\\phi(H.r)$'])
plt.axis([0, 1, 0, 1])

plt.figure()
plt.plot(H.kr, np.abs(EkrH) ** 2)
plt.title('Radial wave-vector distribution')
plt.xlabel(r'Radial wave-vector ($k_r$) /rad $m^{-1}$')
plt.ylabel('Field intensity /arb.')
plt.axis([0, 3e4, 0, np.max(np.abs(EkrH) ** 2)])

# %%
# Now plot an image showing the intensity as a function of
# radius and propagation distance.

plt.figure()
imagesc(z * 1e3, r * 1e3, Irz)
plt.title('Radial field intensity as a function of propagation for annular beam')
plt.xlabel('Propagation distance ($z$) /mm')
plt.ylabel('Radial position ($r$) /mm')
plt.ylim([0, 1])

# %%
# The plot above shows a reduction of intensity with :math:`z`, but it is
# bit difficult to see the beam growing in :math:`r`. To show that, let's
# plot the intensity normalised such that the peak intensity at each :math:`z`
# coordinate is the same.
Irz_norm = Irz / Irz[0, :]

plt.figure()
imagesc(z * 1e3, r * 1e3, Irz_norm)
plt.xlabel('Propagation distance ($z$) /mm')
plt.ylabel('Radial position ($r$) /mm')
plt.ylim([0, 1])
