IrfGaussian

class glotaran.builtin.models.kinetic_image.irf.IrfGaussian[source]

Bases: glotaran.builtin.models.kinetic_image.irf.IrfMultiGaussian

Attributes Summary

`backsweep`
`backsweep_period`
`center`
`label`
`normalize`
`scale`
`shift`
`type`
`width`

Methods Summary

`calculate`
`fill`	Returns a copy of the {cls._name} instance with all members which are Parameters are replaced by the value of the corresponding parameter in the parameter group.
`from_dict`
`from_list`
`mprint`
`parameter`
`validate`

Methods Documentation

property backsweep: bool

property backsweep_period: glotaran.parameter.parameter.Parameter

calculate(index: int, global_axis: numpy.ndarray, model_axis: numpy.ndarray) → numpy.ndarray

property center: glotaran.parameter.parameter.Parameter

fill(model: Model, parameters: ParameterGroup) → cls

Returns a copy of the {cls._name} instance with all members which are Parameters are replaced by the value of the corresponding parameter in the parameter group.

Parameters

model – A glotaran model.
parameter (ParameterGroup) – The parameter group to fill from.

classmethod from_dict(values: dict) → cls

classmethod from_list(values: list) → cls

property label: str

mprint(parameters: ParameterGroup = None, initial_parameters: ParameterGroup = None) → str

property normalize: bool

parameter(global_index: int, global_axis: numpy.ndarray) → Tuple[numpy.ndarray, numpy.ndarray, numpy.ndarray, float, bool, float]

property scale: List[glotaran.parameter.parameter.Parameter]

property shift: List[glotaran.parameter.parameter.Parameter]

property type: str

validate(model: Model, parameters=None) → list[str]

property width: glotaran.parameter.parameter.Parameter