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syrte avatar syrte commented on June 15, 2024 2

My code is available here.

It's not a general KDE code. I've re-implemented the interpolation subroutines from SPLASH. Interpolating particle data to a pixel grid is the typical method to visualize smoothed particle hydrodynamics simulations. See the SPLASH paper for the technical details.

To who is curious about the above link (like me), it was moved to https://github.com/dmentipl/plonk/blob/main/src/plonk/visualize/splash.py

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tommyod avatar tommyod commented on June 15, 2024 1

Thanks for the update! I still want it up on conda forge, but haven't had the time to look at it. I'll keep it issue open. Where is your KDE code? I'd like to take a look.

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dmentipl avatar dmentipl commented on June 15, 2024 1

My code is available here.

It's not a general KDE code. I've re-implemented the interpolation subroutines from SPLASH. Interpolating particle data to a pixel grid is the typical method to visualize smoothed particle hydrodynamics simulations. See the SPLASH paper for the technical details.

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tommyod avatar tommyod commented on June 15, 2024

Thanks a lot for this @dmentipl . I will look into it and get back to you soon! 👍

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dmentipl avatar dmentipl commented on June 15, 2024

No worries. Thanks!

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dmentipl avatar dmentipl commented on June 15, 2024

Hi @tommyod, just to let you know, I no longer use KDEpy in Plonk.

I have realized that I require variable bandwidth KDE, plus I need to use the FFT version for performance. So, I have implemented the algorithms I require in Python, compiled with Numba.

As such I no longer need KDEpy to be a conda-forge package. However, I think KDEpy is excellent software, and it would be worthwhile to put it on conda-forge. I'm happy to help with that if you need. But feel free to close this issue if you prefer.

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