phasespace

import tensorwaves.data.phasespace

Implementations of PhaseSpaceGenerator and UniformRealNumberGenerator.

class TFPhaseSpaceGenerator[source]

Bases: tensorwaves.interface.PhaseSpaceGenerator

Implements a phase space generator using tensorflow.

generate(size: int, rng: UniformRealNumberGenerator) → Tuple[Mapping[int, Sequence[Tuple[float, float, float, float]]], ndarray][source]

Generate phase space sample.

Returns

A tuple of a MomentumSample plus a event-wise sequence of weights.

setup(initial_state_mass: float, final_state_masses: Mapping[int, float]) → None[source]

Hook for initialization of the PhaseSpaceGenerator.

Called before any generate() calls.

Parameters

  • initial_state_mass – Mass of the decaying state.

  • final_state_masses – A mapping of final state IDs to the corresponding masses.

class TFUniformRealNumberGenerator(seed: Optional[float] = None)[source]

Bases: tensorwaves.interface.UniformRealNumberGenerator

Implements a uniform real random number generator using tensorflow.

__call__(size: int, min_value: float = 0.0, max_value: float = 1.0) → ndarray[source]

Generate random floats in the range from [min_value,max_value).

property seed

Get random seed. None if you want indeterministic behavior.