How could I smooth the 3D image using the pysph?

[KirsCAI]

Hi,
I'm using the IllustrisTNG hydrodynamic simulation. And the particle of the simulation is not smoothed. The parameter of the simulation are the xyz coordinate, mass, h parameter(which is calculated from the star particle enclosing the 64±1 nearest dark matter particles.) and density(The local total comoving mass density, estimated using the standard cubic-spline SPH kernel over all particles/cells within a radius of h.).

First question is that if I do not want to do the fluid simulated calculation(like gradient calculation) and just do the 3D image smoothing of kernel(like cubic-spline kernel), what package of pySPH should I use?

Second question is that what the meaning of density which is calculated from cubic-spline kernel. Is not the calculated result of kernel a distribution？ I feel so confused.

Third question is that if I want to calculate the h parameter and distribution by myself, what pysph package should I use?

Thank you very much.

[pawansnegi]

Hello, The pysph software can be in general used for any numerical method that require neighbour particle information to construct shape function. However, it has a very extensive support for SPH method. Please find the answer to your questions within

On Sun, 5 Nov, 2023, 7:07 pm KirsCAI, ***@***.***> wrote: Hi, I'm using the IllustrisTNG hydrodynamic simulation. And the particle of the simulation is not smoothed.

Do you want a uniform particle distribution on the existing field or want the field smoothed out on existing particles? Method for both of them are similar.

The parameter of the simulation have the xyz coordinate, mass, h parameter(which is calculated from the star particle enclosing the 64±1 nearest dark matter particles.) and density(The local total comoving mass density, estimated using the standard cubic-spline SPH kernel over all particles/cells within a radius of h.). First question is that if I do not want to do the fluid simulated calculation(like gradient calculation) and just do the 3D image smoothing of kernel(like cubic-spline kernel), what package of pySPH should I use?

You can use SPHEvaluator in pysph.tools.spseveluator. It can compute any set of given equations and overwrite the output property.

Second question is that what the meaning of density which is calculated from cubic-spline kernel. Is not the calculated result of kernel a distribution？ I feel so confused.

Density is the kernel density. Third question is that if I want to calculate the h parameter and

distribution by myself, what pysph package should I use?

You can set h directly to the particles array as a property before passing it to the SPHEvaluator.

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