simpeg.data.SyntheticData#
- class simpeg.data.SyntheticData(survey, dobs=None, dclean=None, relative_error=None, noise_floor=None)[source]#
Bases:
Data
Synthetic data class.
The
SyntheticData
class is asimpeg.data.Data
class that allows the user to keep track of both clean and noisy data.- Parameters:
- survey
simpeg.survey.BaseSurvey
A SimPEG survey object. For each geophysical method, the survey object defines the survey geometry; i.e. sources, receivers, data type.
- dobs
numpy.ndarray
Observed data.
- dclean(
nD
)numpy.ndarray
Noiseless data.
- relative_error
float
ornp.ndarray
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_floor
float
ornp.ndarray
Assign floor/absolute uncertainties to the data. For each datum, we assume standard deviation of Gaussian noise is equal to noise_floor.
- survey
Attributes
Vector of the clean synthetic data.
Vector of the observed data.
Dictionary for indexing data by sources and receiver.
The number of observed data
Noise floor of the data.
Relative error of the data.
The shape of the array containing the observed data
Return data uncertainties; i.e. the estimates of the standard deviations of the noise.
The survey for this data.
Methods