2.1.4. Synthetic - 2D Magnetic Data Filters

As explained in the Synthetic - Data Filters section, 2D magnetic data filters are commonly applied to magnetic data to allow us to view that data in different ways. They can highlight shallower or deeper magnetic sources, and can emphasize gradients in the magnetic data that occur at geological contacts and in association with structure.

To run the widget, select each cell below (greyed boxes below with "## Load all libraries..." and "selection = Simulator.gridFiltersWidget...") and press [Shift+Enter], or select each cell and click on the 'Run' button in the menu at the top of the notebook. runcell

2D magnetic data filters

The options to change the sun-shading azimuth, angle, and transparency, as well as the color map, are retained from the visualization notebook (notebook 2.1.3).

Use the 'Grid Filters' drop-down menu to choose a filter to apply to the magnetic data. gridfilter

Change the upward continuation height, or distance, using the slider bar labelled 'UpC' (the default is 0 m, so you will need to change it to observe a change in the data): upwarddistSlider

In [ ]:
## Load all libraries and setup the synthetic problem
from GeoToolkit.Mag import Simulator, DataIO
dataGrid = DataIO.loadGeoTiffFile("./assets/Synthetic/DataGrid.tiff")
In [ ]:
selection = Simulator.gridFiltersWidget(
    dataGrid, HSTransp=0, 
    omit=['saveAs', 'EPSGcode', 'SaveGrid'],