SimPEG.data.SyntheticData#

class SimPEG.data.SyntheticData(survey, dobs=None, dclean=None, relative_error=None, noise_floor=None)[source]#

Bases: SimPEG.data.Data

Class for creating synthetic data.

Parameters
surveySimPEG.survey.BaseSurvey

A SimPEG survey object. For each geophysical method, the survey object defines the survey geometry; i.e. sources, receivers, data type.

dobsnumpy.ndarray

Observed data.

dclean(nD) numpy.ndarray

Noiseless data.

relative_errorSimPEG.data.UncertaintyArray

Assign relative uncertainties to the data using relative error; sometimes referred to as percent uncertainties. For each datum, we assume the standard deviation of Gaussian noise is the relative error times the absolute value of the datum; i.e. \(C_{err} \times |d|\).

noise_floorUncertaintyArray

Assign floor/absolute uncertainties to the data. For each datum, we assume standard deviation of Gaussian noise is equal to noise_floor.

Attributes

dclean

Vector of the clean synthetic data.