# Import the OSCARS SR module
import oscars.sr

# Import basic plot utilities (matplotlib).  You don't need these to run OSCARS, but it's used here for basic plots
from oscars.plots_mpl import *


# Create a new OSCARS object.  Default to 8 threads and always use the GPU if available
osr = oscars.sr.sr(nthreads=8, gpu=1)


# Phase difference between fields in [rad]
phase = osr.pi()/2.

# Clear any existing fields (just good habit in notebook style) and add an undulator field
osr.clear_bfields()
osr.add_bfield_undulator(bfield=[0, 0.7, 0], period=[0, 0, 0.049], nperiods=21, phase=-phase/2.)
osr.add_bfield_undulator(bfield=[0.7, 0, 0], period=[0, 0, 0.049], nperiods=21, phase=+phase/2.)

# Just to check the field that we added seems visually correct
plot_bfield(osr)


# Setup beam similar to NSLSII
osr.clear_particle_beams()
osr.set_particle_beam(x0=[0, 0, -1], energy_GeV=3, current=0.500)

# Set the start and stop times for the calculation
osr.set_ctstartstop(0, 2)


# Run the particle trajectory calculation
trajectory = osr.calculate_trajectory()

# Plot the trajectory position and velocity
plot_trajectory_position(trajectory)
plot_trajectory_velocity(trajectory)


# Calculate spectrum zoom
spectrum = osr.calculate_spectrum(obs=[0, 0, 30], energy_range_eV=[140, 170], npoints=200)
plot_spectrum(spectrum)


# Calculate Flux
flux = osr.calculate_flux_rectangle(
    plane='XY',
    energy_eV=154,
    width=[0.01, 0.01],
    npoints=[101, 101],
    translation=[0, 0, 30]
)

plot_flux(flux)


# Calculate flux, circular right and left, short versions are: 'cr', 'cl'
flux = osr.calculate_flux_rectangle(
    plane='XY',
    energy_eV=154,
    width=[0.01, 0.01],
    npoints=[101, 101],
    translation=[0, 0, 30],
    polarization='circular-right'
)

plot_flux(flux, title='circular-right Polarization')

flux = osr.calculate_flux_rectangle(
    plane='XY',
    energy_eV=154,
    width=[0.01, 0.01],
    npoints=[101, 101],
    translation=[0, 0, 30],
    polarization='circular-left'
)

plot_flux(flux, title='circular-left Polarization', xlabel='X [m]', ylabel='Y [m]')