shamrock.get_Model_GSPH#
- shamrock.get_Model_GSPH(*, context: ShamrockCtx, vector_type: str = 'f64_3', sph_kernel: str = 'M4') shamrock.model_gsph.GSPHModel_f64_3_M4 | shamrock.model_gsph.GSPHModel_f64_3_M6 | shamrock.model_gsph.GSPHModel_f64_3_M8 | shamrock.model_gsph.GSPHModel_f64_3_C2 | shamrock.model_gsph.GSPHModel_f64_3_C4 | shamrock.model_gsph.GSPHModel_f64_3_C6#
Create a GSPH (Godunov SPH) model.
GSPH uses Riemann solvers at particle interfaces instead of artificial viscosity, giving sharper shock resolution.
Parameters#
- contextShamrockCtx
Shamrock context
- vector_typestr
Vector type, e.g., “f64_3” for 3D double precision (default: “f64_3”)
- sph_kernelstr
SPH kernel type: “M4” (cubic spline, default), “M6”, “M8” (quintic spline), “C2”, “C4”, “C6” (Wendland kernels)
Returns#
- GSPHModel
A GSPH model instance
Examples#
>>> ctx = shamrock.ShamrockCtx() >>> model = shamrock.get_Model_GSPH(context=ctx) # Uses M4 kernel by default >>> config = model.gen_default_config() >>> config.set_riemann_hllc() >>> config.set_eos_adiabatic(1.4) >>> model.set_solver_config(config)