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qsym2

Functions

project_densities

Python-exposed function to perform symmetry projection for real and complex electron densities.

Parameters:

  • inp_sym

    (str) –

    A path to the QSym2FileType::Sym file containing the symmetry-group detection result for the system. This will be used to construct abstract groups and character tables for symmetry projection.

  • pydens

    (Sequence[tuple[str, PyDensity]]) –

    A sequence of Python-exposed electron densities whose density matrices are of type float64 or complex128. Each density is accompanied by a description string.

  • projection_targets

    (Sequence[str | int]) –

    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

    (PyBasisAngularOrder) –

    Python-exposed structure containing basis angular order information for the density matrices.

  • use_magnetic_group

    (MagneticSymmetryAnalysisKind | None) –

    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

    (bool) –

    A boolean indicating if the double group of the prevailing symmetry group is to be used for representation analysis instead.

  • symmetry_transformation_kind

    (SymmetryTransformationKind) –

    An enumerated type indicating the type of symmetry transformations to be performed on the origin electron density to generate the orbit.

  • write_character_table

    (bool, default: True ) –

    A boolean indicating if the character table of the prevailing symmetry group is to be printed out.

  • infinite_order_to_finite

    (int | None, default: None ) –

    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:

  • list[tuple[str, dict[str, PyDensity]]]

    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.