data¶

import tensorwaves.data

The data module takes care of data generation.

generate_data(size: int, initial_state_mass: float, final_state_masses: Mapping[int, float], data_transformer: DataTransformer, intensity: Function, phsp_generator: Optional[PhaseSpaceGenerator] = None, random_generator: Optional[UniformRealNumberGenerator] = None, bunch_size: int = 50000) → Mapping[Union[int, str], ndarray][source]¶

Facade function for creating data samples based on an intensities.

Parameters

size – Sample size to generate.
initial_state_mass – See PhaseSpaceGenerator.setup().
final_state_masses – See PhaseSpaceGenerator.setup().
data_transformer – An instance of DataTransformer that is used to transform a generated DataSample to a DataSample that can be understood by the Function.
intensity – The intensity Function that will be sampled.
phsp_generator – Class of a phase space generator.
random_generator – A uniform real random number generator. Defaults to TFUniformRealNumberGenerator with indeterministic behavior.
bunch_size – Adjusts size of a bunch. The requested sample size is generated from many smaller samples, aka bunches.

generate_phsp(size: int, initial_state_mass: float, final_state_masses: Mapping[int, float], phsp_generator: Optional[PhaseSpaceGenerator] = None, random_generator: Optional[UniformRealNumberGenerator] = None, bunch_size: int = 50000) → Mapping[Union[int, str], ndarray][source]¶

Facade function for creating (unweighted) phase space samples.

Parameters

size – Sample size to generate.
initial_state_mass – See PhaseSpaceGenerator.setup().
final_state_masses – See PhaseSpaceGenerator.setup().
phsp_generator – Class of a phase space generator. Defaults to TFPhaseSpaceGenerator.
random_generator – A uniform real random number generator. Defaults to TFUniformRealNumberGenerator with indeterministic behavior.
bunch_size – Adjusts size of a bunch. The requested sample size is generated from many smaller samples, aka bunches.

Submodules and Subpackages

TensorWaves