Hall module

Hall measurement.

Induced voltage perpendicular to both current and magnetic field.

physicslab.experiment.hall.process(data, thickness=None, sheet_resistance=None)

Bundle method.

Parameter data must include voltage, current and magnetic field. See Columns for details and column names.

The optional parameters allows to calculate additional quantities: concentration and mobility.

Supplying None for data returns pandas.Series of the same columns with values being units.

Parameters

• data (pandas.DataFrame or None) – Measured data. If None, return units instead

• thickness (float, optional) – Sample dimension perpendicular to the plane marked by the electrical contacts, defaults to None

• sheet_resistance (float, optional) – Defaults to None

Returns

Derived quantities listed in Columns.process() or units

Return type

pandas.Series

class physicslab.experiment.hall.Columns

Bases: physicslab.utility._ColumnsBase

Column names.

classmethod mandatory()

Get the current mandatory column names.

Return type

set(str)

classmethod process()

Get the current values of the process() output column names.

Return type

lits(str)

class physicslab.experiment.hall.Measurement(data)

Hall measurement.

Parameters

data (pandas.DataFrame) – Voltage-current-magnetic field triples.

Raises

ValueError – If data is missing a mandatory column

analyze()

Compute sheet density and determine conductivity type.

Returns

Sheet density, conductivity type, fit residual

Return type

tuple(float, str, float)

physicslab.experiment.hall.plot(data_list, results)

Plot all the measurements in a grid

Parameters

• data_list (list[pandas.DataFrame]) –

• results (pandas.DataFrame) – Analysis data from physicslab.experiment.process()

Returns

Same objects as from matplotlib.pyplot.subplots()

Return type

tuple[Figure, numpy.ndarray[Axes]]