pyAtmosphere 0.0.1

Creator: bigcodingguy24

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Description:

pyAtmosphere 0.0.1

pyAtmosphere
Physics-based simulation of light propagation in turbulent atmosphere.
Installation
*Highly recommend to use virtual environment.
Use the package manager pip to install required packages.
pip install -r requirements.txt

If you want to use GPU for simulation, you need to install CUDA on your machine.
Additinally, the cupy python package is required. For example, for CUDA 11.0:
pip install cupy-cuda110

Usage
GPU usage
If you want to enable GPU simulation, execute at the beginning of your script:
from pyatmosphere import gpu
gpu.config['use_gpu'] = True

QuickChannel example
from pyatmosphere import QuickChannel

quick_channel = QuickChannel(
Cn2=1e-15,
length=10000,
count_ps=5,
beam_w0=0.09,
beam_wvl=8.08e-07,
aperture_radius=0.12
)

quick_channel.plot()

Advanced channel
import numpy as np
from pyatmosphere import (
Channel,
RectGrid,
RandLogPolarGrid,
GaussianSource,
IdenticalPhaseScreensPath,
SSPhaseScreen,
CirclePupil,
MVKModel,
measures
)

channel = Channel(
grid=RectGrid(
resolution=2048,
delta=0.0015
),
source=GaussianSource(
wvl=808e-9,
w0=0.12,
F0=np.inf
),
path=IdenticalPhaseScreensPath(
phase_screen=SSPhaseScreen(
model=MVKModel(
Cn2=5e-16,
l0=6e-3,
L0=1e3,
),
f_grid=RandLogPolarGrid(
points=2**10,
f_min=1 / 1e3 / 15,
f_max=1 / 6e-3 * 2
)
),
length=50e3,
count=5
),
pupil=CirclePupil(
radius=0.2
),
)

channel_output = channel.run(pupil=False)
intensity = measures.I(channel, output=channel_output)
mean_x = measures.mean_x(channel, output=channel_output)

Simulations
from pyatmosphere import simulations

beam_result = simulations.BeamResult(quick_channel, max_size=2000)
pdt_result = simulations.PDTResult(quick_channel, max_size=6000)
sim = simulations.Simulation([beam_result, pdt_result])
sim.run(plot_step=1000)

Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Feel free to open new issues if you have any questions.
License
GNU GPLv3

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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