rxmc.elastic_diffxs_model.ElasticDifferentialXSModel#

class rxmc.elastic_diffxs_model.ElasticDifferentialXSModel(quantity: str, interaction_central: Callable[[float, tuple], complex], interaction_spin_orbit: Callable[[float, tuple], complex], calculate_interaction_from_params: Callable[[DifferentialWorkspace, tuple], tuple], params: list = [], model_name: str = None)[source]#

Bases: PhysicalModel

A model that predicts the elastic differential xs for a given reaction.

__init__(quantity: str, interaction_central: Callable[[float, tuple], complex], interaction_spin_orbit: Callable[[float, tuple], complex], calculate_interaction_from_params: Callable[[DifferentialWorkspace, tuple], tuple], params: list = [], model_name: str = None)[source]#
Parameters:

  • quantity (str) – Observable to compute: "dXS/dA", "dXS/dRuth", or "Ay".

  • interaction_central (callable) – f(r, args) -> complex returning the central interaction potential.

  • interaction_spin_orbit (callable) – f(r, args) -> complex returning the spin-orbit potential.

  • calculate_interaction_from_params (callable) – f(workspace, *params) -> (central_args, spin_orbit_args) mapping model parameters to the argument tuples expected by the interaction callables.

  • params (list of Parameter, optional) – Parameters of the model. Defaults to [].

  • model_name (str, optional) – Human-readable model name. Defaults to "ElasticDifferentialXSModel".

Methods

__init__(quantity, interaction_central, ...)

evaluate(observation, *params)

Evaluate the model on the constraint angular grid.

visualizable_model_prediction(observation, ...)

Evaluate the model on the visualisation angular grid.
evaluate(observation: ElasticDifferentialXSObservation, *params: tuple) → ndarray[source]#

Evaluate the model on the constraint angular grid.

Parameters:

  • observation (ElasticDifferentialXSObservation) – Observation containing the reaction data and pre-built workspace.

  • *params (float) – Physical-model parameter values.

Returns:

np.ndarray – Predicted observable on observation.constraint_workspace.angles.

visualizable_model_prediction(observation: ElasticDifferentialXSObservation, *params: tuple) → ndarray[source]#

Evaluate the model on the visualisation angular grid.

Parameters:

  • observation (ElasticDifferentialXSObservation) – Observation containing the reaction data and pre-built workspace.

  • *params (float) – Physical-model parameter values.

Returns:

np.ndarray – Predicted observable on observation.visualization_workspace.angles.