def _default_options(cls):
options = super()._default_options()
options.dimensionality_reduction = ProjectorType.ABS
options.result_parameters = [
curve.ParameterRepr("freq", "res_freq0", "Hz"),
curve.ParameterRepr("kappa", "kappa", "Hz"),
]
options.plot_iq_data = True
return options
def _default_options(cls) -> Options:
"""Default analysis options."""
options = super()._default_options()
options.data_processor = DataProcessor(
input_key="counts", data_actions=[Probability(outcome="0")])
options.xlabel = "Delay"
options.ylabel = "P(0)"
options.xval_unit = "s"
options.result_parameters = [
curve.ParameterRepr("freq", "Frequency", "Hz"),
curve.ParameterRepr("tau", "T2star", "s"),
]
return options
def _default_options(cls) -> Options:
options = super()._default_options()
options.result_parameters = [curve.ParameterRepr("freq", "f01", "Hz")]
options.normalization = True
options.xlabel = "Frequency"
options.ylabel = "Signal (arb. units)"
options.xval_unit = "Hz"
return options
def _default_options(cls) -> Options:
"""Default analysis options."""
options = super()._default_options()
options.xlabel = "Delay"
options.ylabel = "P(1)"
options.xval_unit = "s"
options.result_parameters = [curve.ParameterRepr("tau", "T1", "s")]
return options
def _default_options(cls) -> Options:
"""Default analysis options."""
options = super()._default_options()
options.data_processor = DataProcessor(
input_key="counts", data_actions=[Probability(outcome="0")]
)
options.bounds = {
"amp": (0.0, 1.0),
"tau": (0.0, np.inf),
"base": (0.0, 1.0),
}
options.xlabel = "Delay"
options.ylabel = "P(0)"
options.xval_unit = "s"
options.result_parameters = [curve.ParameterRepr("tau", "T2", "s")]
return options