Welcome to meshoid’s documentation!

Meshoid is a Python package for analyzing meshless particle data, performing such operations as density/smoothing length computation, numerical differentiation on unstructured data, and various kernel-weighted projection and averaging operations. It was originally designed to work with simulation data from the GIZMO code, but is totally agnostic to the actual format of the data it works on, so feel free to use it with your favorite meshless or unstructured mesh code!

Contents:

• Installation
  • Requirements
  • Installing the latest stable release
  • Install from source
• Walkthrough
  • Projections
  • Slices
  • Simple Radiative Transfer
  • Differential Operators
• API Documentation
  • Meshoid
  • particle_glass()
  • relax_particles()
  • tesselate_glass_coords()
  • HsmlIter()
  • dkernel()
  • dkernel_ngb_sum()
  • kernel2d()
  • kernel3d()
  • GridAverage()
  • GridDensity_core()
  • GridSurfaceDensity()
  • GridSurfaceDensity3_core()
  • GridSurfaceDensityMulti()
  • GridSurfaceDensityMulti_core()
  • GridSurfaceDensity_conservative_core()
  • GridSurfaceDensity_core()
  • Grid_PPZ_DataCube()
  • Grid_PPZ_DataCube_Multigrid()
  • Grid_PPZ_DataCube_core()
  • WeightedGridInterp3D()
  • periodic_offsets()
  • GridSurfaceDensityMulti_cuda()
  • GridSurfaceDensity_cuda()
  • check_dtype()
  • cuda_available()
  • get_gsd_kernel()
  • prepare_gsd_inputs()
  • get_num_derivs()
  • gradient_weights()
  • kernel_dx_and_weights()
  • polyfit_leastsq_matrices()
  • radtransfer()
  • radtransfer_singlethread()
• Feedback, Support, and Contributions

Indices and tables

• Index

• Module Index

• Search Page