Select the sensor (data) database prefix.

Script Parameter: UXANALYZE.DYN_DBPREFIX

Specify a name for the line/group that will be created into the source database through the dynamic inversion process. Pre-populated as "Target". If Classify and Rank ' has been executed, this field will be set to the source group name input in the 'Databases' tab of the 'Classify and Rank' dialog.

Script Parameter: UXANALYZE.SOURCEGROUP

Select the target group from the target database.

Script Parameter: UXANALYZE.TARGETGROUP

Select the target ID channel.

Default value: UXA_Target_ID

Script Parameter: UXANALYZE.TARGETID

Select the mask channel to identify for which targets to invert the data.

Default value: UXA_Mask

Script Parameter: UXANALYZE.TARGETMASK

Specify the sensor channel suffix, for the leveled sensor data.

Script Parameter: UXANALYZE.SENCHAN_SUFFIX

Select the low and high time gates from the list, which limit the range of data used when modelling the data.

Default value for low gate: UXA_GateFirstValidTime (the one with the first valid time).

Default value for high gate is the maximum number of gates minus one.

Script Parameter:

• UXANALYZE.DYN_LOGATE
• UXANALYZE.DYN_HIGATE

Select the pitch channel from the list of existing database channels.

Default value: UXA_PITCH_FILT.

Script Parameter: UXANALYZE.PITCH

Select the roll channel from the list of existing database channels.

Default value: UXA_ROLL_FILT.

Script Parameter: UXANALYZE.ROLL

Select the heading channel from the list of existing database channels.

Default value:UXA_COG.

Script Parameter: UXANALYZE.YAW

Specify the data chip crossline dimension.

This dimension should extend across at least 3 survey lines.

Default value: 1.6.

Script Parameter: UXANALYZE.DATACHIP_CROSS_LINE

Specify the data chip along-line dimension.

This dimension should extend along the line approximately 1.5 times the sensor array length.

Default value: 1.2.

Script Parameter: UXANALYZE.DATACHIP_ALONG_LINE

Select the number of dipoles, which determines how many sources will be modelled.

The ID of each source follows this pattern: [FLAG]_[MEASUREMENT]_[SOLVER][SOURCE].

For example, if the number of dipoles selected is 3, a total of 6 sources will be calculated. These 6 sources will be one 1-dipole, two 2-dipole, and three 3-dipole. If flag ID is 79 and measurement ID is 1, number of dipoles value of 3 generates the following sources: 79_001_11, 79_001_21, 79_001_22, 79_001_31, 79_001_32, and 79_001_33.

Default value: 3.

Script Parameter: UXANALYZE.NDIPOLE_SOLVER

If selected, only the data at the identified target locations are inverted.

Script Parameter: UXANALYZE.DYN_RELOCATE_SOURCES [0]

If selected, all the target locations are inverted, and the sources are analyzed to find out if there is a need to add new targets to the target database.

See the Application Notes for additional details on Repositioning the data chip.

Script Parameter: UXANALYZE.DYN_RELOCATE_SOURCES [1]

If selected, all the sources are analyzed to find out if there is a need to add new flags to the target database.

See the Application Notes for additional details on Repositioning the data chip.

Script Parameter: UXANALYZE.DYN_RELOCATE_SOURCES [2]

Specify the signal amplitude grid file name.

Script Parameter: UXANALYZE.DYN_AMP_GRID

Specify the amplitude grid value below which you want peaks to be removed from the list.

Script Parameter: UXANALYZE.DYN_AMP_THRESHOLD

Specify the model coherence grid file name.

Script Parameter: UXANALYZE.DYN_COH_GRID

Specify a Model coherence grid value below which you want peaks to be removed from the list.

To help determine a reasonable threshold, you can use the Determine Coherence Threshold tool.

Script Parameter: UXANALYZE.DYN_COH_THRESHOLD

The target id is composed of four parts:

• Geo id
• Flag id
• Measurement id
• Source id

The Chi-Squared test metric – a measure of the how well the model data match the observed data.

The Pearson Chi-Square is calculated across the entire time window for all TX-RX combinations. The value of the Chi-Square test statistic is:

where:

x² = Pearson's cumulative test statistic, which asymptotically approaches a x² distribution.

O_i = observed or measured data;

E_i = expected or modeled data;

n = the number of valid time gates.

This measure fit is for all the data for a single target.

The fit coherence metric, the correlation coefficient squared – a measure of the how well the model data match the observed data.

The value of the correlation coefficient squared is:

where:

ρ = Pearson's correlation coefficient.

O_i = observed or measured data;

E_i = expected or modeled data;

σ_O = standard deviation of the observed data;

σ_E = standard deviation of the expected data;

n = the number of valid time gates.

A high fit coherence does not guarantee that the fit results are accurate – only that the match between modeled and measured data is high.

Error flag:

• 0: Fit converge successfully
• 1:  Unexpected or general error
• 2: Maximum number of iterations reached

The polarizabilities (or sometime “betas”), primary, secondary and tertiary.

These are the three response coefficients, that represent the eigenvalues of the magnetic polarizability tensor. They can be thought of as components along the three orthogonal axes of the induced dipole. Negative values are physically impossible.

The relative size of the coefficients provides information about the shape of the object. For an isolated metallic object:

• Cylindrical shape, B1>B2≈B3
• Spherical shape, B1≈B2≈B3
• Plate shape, B1≈B2>B3

The source was recalculated using by repositioning the data chip.

• -1: for the selected source accepted as is with no repositioning required. No valid grid anomalies were detected.
• *: no repositioning required.
• 1: for the selected source was “re-centred” and new target location added to the target list.