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I have an e-field in a simulation. I would like to mask some regions to compute statistics. Is there an example/tutorial about how to do this in python? thx
The typical workflow is to first build the postprocessing pipeline in the GUI, then use the "To Python" tool (available from the right-click contextual menu) to generate the corresponding Python script.
For the mask filter + SAR statistics, it would give something like this:
import numpy import s4l_v1.analysis as analysis import s4l_v1.document as document import s4l_v1.model as model import s4l_v1.units as units from s4l_v1 import Unit # Creating the analysis pipeline # Adding a new SimulationExtractor simulation = document.AllSimulations["Dipole (Broadband) - Copy"] simulation_extractor = simulation.Results() # Adding a new EmSensorExtractor em_sensor_extractor = simulation_extractor["Overall Field"] em_sensor_extractor.FrequencySettings.ExtractedFrequency = u"All" em_sensor_extractor.Normalization.Normalize = True em_sensor_extractor.Normalization.AvailableReferences = u"EM Input Power(f)" em_sensor_extractor.SurfaceCurrent.SurfaceResolution = 0.001, units.Meters document.AllAlgorithms.Add(em_sensor_extractor) entity1=model.AllEntities()['Sphere 1'] # Adding a new FieldMaskingFilter inputs = [em_sensor_extractor.Outputs["EM E(x,y,z,f0)"]] field_masking_filter = analysis.core.FieldMaskingFilter(inputs=inputs) field_masking_filter.SetAllMaterials(False) field_masking_filter.SetEntities([entity1]) field_masking_filter.UpdateAttributes() document.AllAlgorithms.Add(field_masking_filter) # Adding a new SarStatisticsEvaluator inputs = [field_masking_filter.Outputs["EM E(x,y,z,f0)"]] sar_statistics_evaluator = analysis.em_evaluators.SarStatisticsEvaluator(inputs=inputs) sar_statistics_evaluator.Snapshot = u"3e+08" sar_statistics_evaluator.StdDev = False sar_statistics_evaluator.TotalLossyVolume = False sar_statistics_evaluator.VoxelCount = False sar_statistics_evaluator.LossyVoxelCount = False sar_statistics_evaluator.UpdateAttributes() document.AllAlgorithms.Add(sar_statistics_evaluator)
Thanks so much!