prsctrl.measurement.settings.LockInSettings#

class LockInSettings(time_constant_s: float = 1, sensitivity_volt: float = 5e-05, filter_slope: float = 12, sync_filter: float = 1, reserve: str = 'Normal', reference: str = 'External', reference_trigger: str = 'Rising Edge', frequency_Hz: float | None = None, sample_rate_Hz: float = 128, aux_DC: str = 'Aux In 1')[source]#

Bases: SettingsClass

Methods

`apply`	Set - time constant - sensitivity - filter slope - sync filter - reserve - reference source - reference trigger setting - frequency
`as_dict`	Convenience wrapper for dataclasses.asdict(self)
`from_dict`	Recursively construct a SettingsClass from a dictionary.
`load_yaml`
`save_yaml`

Attributes

`aux_DC`	The name of the auxiliary port that is used to measure the DC intensity
`filter_slope`
`frequency_Hz`
`reference`	The source of the reference frequency
`reference_trigger`
`reserve`
`sample_rate_Hz`
`sensitivity_volt`
`sync_filter`
`time_constant_s`

apply(device: LockInAmp)[source]#: Set - time constant - sensitivity - filter slope - sync filter - reserve - reference source - reference trigger setting - frequency

as_dict() → dict#: Convenience wrapper for dataclasses.asdict(self)

aux_DC: str = 'Aux In 1'#: The name of the auxiliary port that is used to measure the DC intensity

classmethod from_dict(data: dict)#

Recursively construct a SettingsClass from a dictionary. If the value of a field is another SettingsClass, from_dict will be called for that field as well. Handled are: - SettingsClass - list[SettingsClass] - dict[<any>, SettingsClass] - all of the above as Optional

Raises:

ValueError – If data contains a value that has the wrong type for the field of cls (ONLY if the type is a subclass of SettingsClass! Other types are not enforced)
KeyError – If data contains a key that is not a field name of cls

reference: str = 'External'#: The source of the reference frequency