tardis.transport.montecarlo.estimators.radfield_mc_estimators module¶
- class tardis.transport.montecarlo.estimators.radfield_mc_estimators.RadiationFieldMCEstimators(*args, **kwargs)[source]¶
Bases:
RadiationFieldMCEstimators
- class_type = jitclass.RadiationFieldMCEstimators#7f32dce93a70<j_estimator:array(float64, 1d, A),nu_bar_estimator:array(float64, 1d, A),j_blue_estimator:array(float64, 2d, A),Edotlu_estimator:array(float64, 2d, A),photo_ion_estimator:array(float64, 2d, A),stim_recomb_estimator:array(float64, 2d, A),bf_heating_estimator:array(float64, 2d, A),stim_recomb_cooling_estimator:array(float64, 2d, A),photo_ion_estimator_statistics:array(int64, 2d, A)>¶
- tardis.transport.montecarlo.estimators.radfield_mc_estimators.initialize_estimator_statistics(tau_sobolev_shape, gamma_shape)[source]¶
Initializes the estimators used in the Monte Carlo simulation.
- Parameters:
- tau_sobolev_shapetuple
Shape of the array with the Sobolev optical depth.
- gamma_shapetuple
Shape of the array with the photoionization rate coefficients.
- Returns:
- Estimators
The initialized estimators.
Examples
>>> tau_sobolev_shape = (10, 20) >>> gamma_shape = (5, 5) >>> initialize_estimators(tau_sobolev_shape, gamma_shape) <Estimators object at 0x...>