popsynth.selection_probability.generic_selectors module

class popsynth.selection_probability.generic_selectors.UnitySelection(name='unity')

Bases: SelectionProbability

__init__(name='unity')

A selection that returns all selected.

Parameters

name – Name of the selection

draw(size: int) → None

class popsynth.selection_probability.generic_selectors.BernoulliSelection

Bases: SelectionProbability

probability

__init__() → None

A Bernoulli selection with probability as a parameter.

Parameters

probability (SelectionParameter) – Probability for each Bernoulli trial

draw(size: int) → None

class popsynth.selection_probability.generic_selectors.BoxSelection(name: str = 'box selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

Bases: SelectionProbability

vmin

vmax

__init__(name: str = 'box selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

A box selection on observed_value, distance, luminosity or flux.

Parameters

• name (str) – Name of the selection

• use_obs_value (bool) – If True, make selection on observed_value. False by default.

• use_distance (bool) – If True make selection on distance. False by default.

• use_luminosity (bool) – If True make selection on luminosity. False by default.

• use_flux (bool) – If True make selection on flux. False by default.

• vmin (SelectionParameter) – Minimum value of selection

• vmax (SelectionParameter) – Maximum value of selection

draw(size: int) → ndarray

class popsynth.selection_probability.generic_selectors.LowerBound(name: str = 'Hard selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

Bases: SelectionProbability

boundary

__init__(name: str = 'Hard selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

A hard, lower bound selection on obs_value, distance, luminosity or flux.

Selects values >= boundary.

Parameters

• name (str) – Name of the selection

• use_obs_value (bool) – If True, make selection on observed_value. False by default.

• use_distance (bool) – If True make selection on distance. False by default.

• use_luminosity (bool) – If True make selection on luminosity. False by default.

• use_flux (bool) – If True make selection on flux. False by default.

• boundary (SelectionParameter) – Value of the selection boundary

draw(size: int) → None

class popsynth.selection_probability.generic_selectors.UpperBound(name: str = 'Hard selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

Bases: SelectionProbability

boundary

__init__(name: str = 'Hard selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

A hard, upper bound selection on obs_value, distance, luminosity or flux.

Selects values <= boundary.

Parameters

• name (str) – Name of the selection

• use_obs_value (bool) – If True, make selection on observed_value. False by default.

• use_distance (bool) – If True make selection on distance. False by default.

• use_luminosity (bool) – If True make selection on luminosity. False by default.

• use_flux (bool) – If True make selection on flux. False by default.

• boundary (SelectionParameter) – Value of the selection boundary

draw(size: int) → None

class popsynth.selection_probability.generic_selectors.SoftSelection(name: str = 'Soft Selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False)

Bases: SelectionProbability

boundary

strength

__init__(name: str = 'Soft Selection', use_obs_value: bool = False, use_distance: bool = False, use_luminosity: bool = False, use_flux: bool = False) → None

A soft selection using an inverse logit function either on the log or linear value of the observed_value, distance, luminosity or flux.

Parameters

• name (str) – Name of the selection

• use_obs_value (bool) – If True, make selection on observed_value. False by default.

• use_distance (bool) – If True make selection on distance. False by default.

• use_luminosity (bool) – If True make selection on luminosity. False by default.

• use_flux (bool) – If True make selection on flux. False by default.

• boundary (SelectionParameter) – Center of the inverse logit

• strength (SelectionParameter) – Width of the logit

draw(size: int, use_log=True) → None