OpticSim.jl
Optical Simulation software (by microsoft)
prysm
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing... (by brandondube)
OpticSim.jl | prysm | |
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6 | 28 | |
347 | 234 | |
- | - | |
6.4 | 8.4 | |
over 1 year ago | 3 days ago | |
Julia | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpticSim.jl
Posts with mentions or reviews of OpticSim.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-22.
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Favorite Optical Design Freeware?
you can try something with python https://github.com/microsoft/OpticSim.jl
- OpticSim.jl: optical simulation using Julia
- Opticsim.jl: Optical Simulation Software
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Hacker News top posts: Mar 22, 2021
Opticsim.jl: Optical Simulation Software\ (7 comments)
prysm
Posts with mentions or reviews of prysm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-07.
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How to generate realistic PSFs for camera lenses?
My current concept is to just combine zernike polynomials with a random factor and calculate the PSF from that, which can be somewhat easily be done with the prysm library. These PSFs can then be convolved with circular and gaussian kernels for modelling additional defocus and accounting for other stuff like the AA filter. Then I'd add chromatic aberration by offseting/scaling the PSFs for each channel. Some generated kernels already look pretty good when comparing them to stars in astrophotography images, but others not so much.
- Prysm is a Python 3.6 library for numerical optics
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Books/ other resources to learn about Fraunhofer diffraction farfield model using MATLAB/python?
https://github.com/brandondube/prysm (caveat emptor: mine)
- Demonstrations of laser optics/Fourier optics and diffraction simulations
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Python raytracer optimizations and improvements
You can trace about 1 billion raysurfaces per second in pure python with CuPy, or a few million raysurfaces per second on CPU.
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Exascale integrated modeling of low-order wavefront sensing and control for the Roman Coronagraph instrument
New paper from /u/BDube_Lensman using prysm to model NASA's Roman Coronagraph
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Reccomended textbooks/reading for learning Thin Films
This free book is what this free code is based on
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Options for free optical simulation?
Prysm Originally for diffraction type optics but seems to able to handle...everything? Performance as a priamary concern, GPU acceleration, proven JPL heritage :) Raytracing is however still experimental and without docs, generally whilst the library looks excellent if you're an optics person already I think I lack a bit of the base fundamental knowledge to really use it powerfully from just the API reference. I can see BDube has some raytracing example code in some of the issues I could probably adapt and muddle my way through at least. No guis is mildly annoying for a noob like myself, but I can work my way around matplotlib-ing just fine instead i'm sure.
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Options for GPU accelerated python experiments?
You may want to steal my shim set since it lets you hot swap Numpy<-->cupy at runtime
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Anaconda is so fucking broken!
I do computational diffraction with large manycore servers and GPUs at a FFRDC. The difference between MKL and not MKL is the difference between hitting enter and getting a result in an hour or two vs tomorrow.
What are some alternatives?
When comparing OpticSim.jl and prysm you can also consider the following projects:
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
nogil - Multithreaded Python without the GIL