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Galvanostatic Impedance Spectroscopy

pypalmsens.GalvanostaticImpedanceSpectroscopy


              flowchart TD
              pypalmsens.GalvanostaticImpedanceSpectroscopy[GalvanostaticImpedanceSpectroscopy]
              pypalmsens._methods.base.BaseTechnique[BaseTechnique]
              pypalmsens._methods.mixins.CurrentRangeMixin[CurrentRangeMixin]
              pypalmsens._methods.mixins.PotentialRangeMixin[PotentialRangeMixin]
              pypalmsens._methods.mixins.PretreatmentMixin[PretreatmentMixin]
              pypalmsens._methods.mixins.PostMeasurementMixin[PostMeasurementMixin]
              pypalmsens._methods.mixins.EquilibrationTriggersMixin[EquilibrationTriggersMixin]
              pypalmsens._methods.mixins.MeasurementTriggersMixin[MeasurementTriggersMixin]
              pypalmsens._methods.mixins.MultiplexerMixin[MultiplexerMixin]
              pypalmsens._methods.mixins.GeneralMixin[GeneralMixin]
              pypalmsens._methods.base_model.BaseModel[BaseModel]

                              pypalmsens._methods.base.BaseTechnique --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.base.BaseTechnique
                

                pypalmsens._methods.mixins.CurrentRangeMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.CurrentRangeMixin
                

                pypalmsens._methods.mixins.PotentialRangeMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.PotentialRangeMixin
                

                pypalmsens._methods.mixins.PretreatmentMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.PretreatmentMixin
                

                pypalmsens._methods.mixins.PostMeasurementMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.PostMeasurementMixin
                

                pypalmsens._methods.mixins.EquilibrationTriggersMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.EquilibrationTriggersMixin
                

                pypalmsens._methods.mixins.MeasurementTriggersMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.MeasurementTriggersMixin
                

                pypalmsens._methods.mixins.MultiplexerMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.MultiplexerMixin
                

                pypalmsens._methods.mixins.GeneralMixin --> pypalmsens.GalvanostaticImpedanceSpectroscopy
                                pypalmsens._methods.base_model.BaseModel --> pypalmsens._methods.mixins.GeneralMixin
                



              click pypalmsens.GalvanostaticImpedanceSpectroscopy href "" "pypalmsens.GalvanostaticImpedanceSpectroscopy"
              click pypalmsens._methods.base.BaseTechnique href "" "pypalmsens._methods.base.BaseTechnique"
              click pypalmsens._methods.mixins.CurrentRangeMixin href "" "pypalmsens._methods.mixins.CurrentRangeMixin"
              click pypalmsens._methods.mixins.PotentialRangeMixin href "" "pypalmsens._methods.mixins.PotentialRangeMixin"
              click pypalmsens._methods.mixins.PretreatmentMixin href "" "pypalmsens._methods.mixins.PretreatmentMixin"
              click pypalmsens._methods.mixins.PostMeasurementMixin href "" "pypalmsens._methods.mixins.PostMeasurementMixin"
              click pypalmsens._methods.mixins.EquilibrationTriggersMixin href "" "pypalmsens._methods.mixins.EquilibrationTriggersMixin"
              click pypalmsens._methods.mixins.MeasurementTriggersMixin href "" "pypalmsens._methods.mixins.MeasurementTriggersMixin"
              click pypalmsens._methods.mixins.MultiplexerMixin href "" "pypalmsens._methods.mixins.MultiplexerMixin"
              click pypalmsens._methods.mixins.GeneralMixin href "" "pypalmsens._methods.mixins.GeneralMixin"
              click pypalmsens._methods.base_model.BaseModel href "" "pypalmsens._methods.base_model.BaseModel"
            

Create galvanostatic impedance spectroscopy method parameters.

For Galvanostatic EIS (GEIS) the modes are:

  • a frequency scan at a fixed dc-current
  • frequency scans at each current in a current scan
  • frequency scans at specified time intervals (time scan)
  • a single frequency applied at each current in a current scan
  • a single frequency at specified time intervals

Methods:

  • from_dict

    Structure technique instance from dict.

  • from_method_id

    Create new instance of appropriate technique from method ID.

  • to_dict

    Return the technique instance as a new key/value dictionary mapping.

Attributes:

ac_current class-attribute instance-attribute

ac_current: float = 0.01

AC current in applied current range RMS.

applied_current_range class-attribute instance-attribute

applied_current_range: AllowedCurrentRanges = '100uA'

Applied current range.

See pypalmsens.settings.AllowedCurrentRanges for options.

current_range class-attribute instance-attribute

current_range: CurrentRange = Field(default_factory=CurrentRange)

Set the autoranging current.

dc_current class-attribute instance-attribute

dc_current: float = 0.0

DC current in applied current range.

equilibration_time class-attribute instance-attribute

equilibration_time: float = 0.0

Equilibration time in s.

equilibrion_triggers class-attribute instance-attribute

equilibrion_triggers: EquilibrationTriggers = Field(default_factory=EquilibrationTriggers)

Set the trigger at equilibration settings.

general class-attribute instance-attribute

general: General = Field(default_factory=General)

Sets general/other settings.

max_frequency class-attribute instance-attribute

max_frequency: float = 50000

Maximum frequency in Hz.

measurement_triggers class-attribute instance-attribute

measurement_triggers: MeasurementTriggers = Field(default_factory=MeasurementTriggers)

Set the trigger at measurement settings.

min_frequency class-attribute instance-attribute

min_frequency: float = 1000

Minimum frequency in Hz.

multiplexer class-attribute instance-attribute

multiplexer: Multiplexer = Field(default_factory=Multiplexer)

Set the multiplexer settings.

n_frequencies class-attribute instance-attribute

n_frequencies: int = 11

Number of frequencies.

post_measurement class-attribute instance-attribute

post_measurement: PostMeasurement = Field(default_factory=PostMeasurement)

Set the post measurement settings.

potential_range class-attribute instance-attribute

potential_range: PotentialRange = Field(default_factory=PotentialRange)

Set the autoranging potential.

pretreatment class-attribute instance-attribute

pretreatment: Pretreatment = Field(default_factory=Pretreatment)

Set the pretreatment settings.

from_dict classmethod

from_dict(obj: dict[str, Any]) -> BaseTechnique

Structure technique instance from dict.

Opposite of .to_dict()

Source code in src/pypalmsens/_methods/base.py
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@classmethod
def from_dict(cls, obj: dict[str, Any]) -> BaseTechnique:
    """Structure technique instance from dict.

    Opposite of `.to_dict()`"""
    return cls.model_validate(obj)

from_method_id classmethod

from_method_id(id: str) -> BaseTechnique

Create new instance of appropriate technique from method ID.

Source code in src/pypalmsens/_methods/base.py
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@classmethod
def from_method_id(cls, id: str) -> BaseTechnique:
    """Create new instance of appropriate technique from method ID."""
    new = cls._registry[id]
    return new()

to_dict

to_dict() -> dict[str, Any]

Return the technique instance as a new key/value dictionary mapping.

Source code in src/pypalmsens/_methods/base.py
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def to_dict(self) -> dict[str, Any]:
    """Return the technique instance as a new key/value dictionary mapping."""
    return self.model_dump()