pub fn project_densities(
py: Python<'_>,
inp_sym: PathBuf,
pydens: Vec<(String, PyDensity)>,
projection_targets: Vec<PyProjectionTarget>,
pybao: &PyBasisAngularOrder,
use_magnetic_group: Option<MagneticSymmetryAnalysisKind>,
use_double_group: bool,
symmetry_transformation_kind: SymmetryTransformationKind,
write_character_table: bool,
infinite_order_to_finite: Option<u32>,
) -> PyResult<Vec<(String, IndexMap<String, Py<PyAny>>)>>Expand description
Python-exposed function to perform symmetry projection for real and complex electron densities.
§Arguments
inp_sym- A path to theQSym2FileType::Symfile containing the symmetry-group detection result for the system. This will be used to construct abstract groups and character tables for symmetry projection.pydens- A sequence of Python-exposed electron densities whose density matrices are of typefloat64orcomplex128. Each density is accompanied by a description string.projection_targets- A sequence of subspace labels for projection. Each label is either a symbolic string or a numerical index for the subspace in the character table of the prevailing group.pybao- Python-exposed structure containing basis angular order information for the density matrices.use_magnetic_group- An option indicating if the magnetic group is to be used for symmetry analysis, and if so, whether unitary representations or unitary-antiunitary corepresentations should be used.use_double_group- A boolean indicating if the double group of the prevailing symmetry group is to be used for representation analysis instead.symmetry_transformation_kind- An enumerated type indicating the type of symmetry transformations to be performed on the origin electron density to generate the orbit.write_character_table- A boolean indicating if the character table of the prevailing symmetry group is to be printed out.infinite_order_to_finite- The finite order with which infinite-order generators are to be interpreted to form a finite subgroup of the prevailing infinite group. This finite subgroup will be used for symmetry analysis.
§Returns
The result will be returned as a list of tuples, each of which contains the name/description of an original density and a dictionary in which the keys are the subspace labels and the values are the corresponding projected density.