Mondaic Documentation
www.mondaic.com
Mondaic
Version:
No results found.
python_api
/
salvus
/
opt
/
data_normalizations
/
l2_energy_per_measurement

salvus.opt.data_normalizations.l2_energy_per_measurement

salvus.opt.data_normalizations.l2_energy_per_measurement salvus opt data_normalizations l2_energy_per_measurement
L2 energy per measurement data normalization and its jacobian.

Functions

forward_data_normalization_l2_energy_per_measurement()

Normalize data traces their L2 energy norm.
SIGNATURE
def forward_data_normalization_l2_energy_per_measurement(
    data_array_synthetic: xr.DataArray, data_array_observed: T, event: Event
) -> tuple[xr.DataArray, T]: ...
ARGUMENTS
Required
data_array_synthetic
Type:xr.DataArray
Description:
The synthetic data traces without normalization.
Required
data_array_observed
Type:T
Description:
The observed data traces without normalization.
Required
event
Type:Event
Description:
The event.
RETURNS
Return type: tuple[xr.DataArray, T]

jacobian_data_normalization_l2_energy_per_measurement()

Apply the jacobian of L2 energy normalization to the adjoint sources.
SIGNATURE
def jacobian_data_normalization_l2_energy_per_measurement(
    data_array_adjoint_sources: xr.DataArray,
    data_array_synthetic: xr.DataArray,
    data_array_observed: xr.DataArray | None,
    event: Event,
) -> xr.DataArray: ...
ARGUMENTS
Required
data_array_adjoint_sources
Type:xr.DataArray
Description:
The adjoint sources.
Required
data_array_synthetic
Type:xr.DataArray
Description:
The synthetic data traces without normalization.
Required
data_array_observed
Type:xr.DataArray | None
Description:
The observed data traces without normalization.
Required
event
Type:Event
Description:
The event.
RETURNS
Return type: xr.DataArray

tracewise_forward_data_normalization_l2_energy_per_measurement()

Normalize a data trace by its L2 energy norm.
This is the per-trace version of forward_data_normalization_l2_energy_per_measurement().
SIGNATURE
def tracewise_forward_data_normalization_l2_energy_per_measurement(
    data_synthetic: npt.NDArray,
    data_observed: npt.NDArray | None,
    sampling_rate_in_hertz: float,
) -> tuple[npt.NDArray, npt.NDArray | None]: ...
ARGUMENTS
Required
data_synthetic
Type:npt.NDArray
Description:
The synthetic data trace without normalization.
Required
data_observed
Type:npt.NDArray | None
Description:
The observed data trace without normalization.
Required
sampling_rate_in_hertz
Type:float
Description:
The sampling rate of both data traces in Hz.
RETURNS
Return type: tuple[npt.NDArray, npt.NDArray | None]

tracewise_jacobian_data_normalization_l2_energy_per_measurement()

Apply the jacobian on L2 energy normalization to an adjoint source.
This is the per-trace version of jacobian_data_normalization_l2_energy_per_measurement().
SIGNATURE
def tracewise_jacobian_data_normalization_l2_energy_per_measurement(
    adjoint_source: npt.NDArray,
    data_synthetic: npt.NDArray,
    data_observed: npt.NDArray | None,
    sampling_rate_in_hertz: float,
) -> npt.NDArray: ...
ARGUMENTS
Required
adjoint_source
Type:npt.NDArray
Description:
The adjoint source.
Required
data_synthetic
Type:npt.NDArray
Description:
The synthetic data trace without normalization.
Required
data_observed
Type:npt.NDArray | None
Description:
The observed data trace without normalization.
Required
sampling_rate_in_hertz
Type:float
Description:
The sampling rate of the adjoint source and data in Hz.
RETURNS
Return type: npt.NDArray
Previous
data_normalizations
Next
normalized_misfit
We use cookies to analyze our traffic, but won't track you until explicit consent is given. Using our contact form will create relevant cookies and transmit data to third party services to keep track of your request. Read more about how we use personal information in our Privacy Policy.
PAGE CONTENTS