This API reference is not for the latest stable Salvus version.

`salvus.opt.data_normalizations.normalized_misfit`

Compute a per-trace normalized misfit and adjoint source.

Functions

`compute_normalized_misfit()`

def compute_normalized_misfit(
    data_synthetic: numpy.ndarray,
    data_observed: numpy.ndarray,
    sampling_rate_in_hertz: float,
    misfit_function: Callable,
    extra_kwargs_misfit_function: Optional[Dict] = None,
    normalization: Optional[
        salvus.opt.data_normalizations.TraceNormalization
    ] = None,
) -> Tuple[float, numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]]]: ...

Compute misfit and adjoint source on normalized data.

Parameters

data_synthetic numpy.ndarray — synthetic waveforms.
data_observed numpy.ndarray — observed waveforms.
sampling_rate_in_hertz float — Sampling rate.
misfit_function Callable — Callback function of actual misfit function.
extra_kwargs_misfit_function Optional[Dict] — Extra arguments passed to the misfit function.
normalization Optional[salvus.opt.data_normalizations.TraceNormalization] — Optional data normalization.

Returns Tuple[float, numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]]] — tuple of misfit value and adjoint source