Acoustic simulation - phase information needed (using Python)
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Hi!
How can I extract the phase value of the pressure p(f) on a sensor point directly by Python?
I don' t know if that's possible ( to directly extract the phase).Alternatively, I can extract the real and imaginary part of the complex pressure on my n sensors and then derive the phase values. BUT I can do it, extracting in separate excel files each pressure value. Not easy to handle.
I would need to allocate the n complex pressure values in a single array and then, calculate the phase from these values. I am moving my first steps in Python, so I really appreciate some helps.Thanks
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Hi,
For a point sensor p(f):
Under properties you get the option for Complex component and can select Phase (deg).
from Python:
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 ReleaseVersion from s4l_v1 import Unit # Adding a new SimulationExtractor simulation = document.AllSimulations["Single Element Focused Transducer"] simulation_extractor = simulation.Results() # Adding a new AcousticSensorExtractor acoustic_sensor_extractor = simulation_extractor["Focus (SEFT)"] # Get Point Sensor input = acoustic_sensor_extractor.Outputs["p(f)"] # Get Point Sensor data (output is complex pressure) output = input.Data.GetComponent(0) # Post Process: Angle output_angle = numpy.angle(output)
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For Field sensor p(x,y,z,f):
Easiest is to create a 'Calculator' and calculate it yourself, then right click field and select 'To Python..' to get the corresponding Python code
Select overall field -> p(x,y,z,f) -> Field Data Tools -> Calculator -> Value Location: Cell Center -> Scalar Variables: F (Re{p}) -> Scalar Variables: G (Im{p}) -> Expression: atan(G/F) (change it to read this or whatever suitable formula you wish)
Then you can use the viewers (note, careful with division by zero, you'll need to adjust the color bar accordingly, also you'll get 'wrapped' angles)
(In the next reply I'll show you how you can extract the field, manipulate it, and plot it back ... Very useful to plot arbitrary numpy arrays in S4L)
Python code:
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 ReleaseVersion from s4l_v1 import Unit # Creating the analysis pipeline # Adding a new SimulationExtractor simulation = document.AllSimulations["Single Element Focused Transducer"] simulation_extractor = simulation.Results() # Adding a new AcousticSensorExtractor acoustic_sensor_extractor = simulation_extractor["Overall Field"] # Adding a new FieldCalculator inputs = [acoustic_sensor_extractor.Outputs["p(x,y,z,f)"]] field_calculator = analysis.field.FieldCalculator(inputs=inputs) field_calculator.Expression = u"atan(G/F)" field_calculator.ValueLocation = field_calculator.ValueLocation.enum.CellCenter field_calculator.UpdateAttributes() document.AllAlgorithms.Add(field_calculator) # Adding a new SliceFieldViewer inputs = [field_calculator.Outputs["Result(x,y,z)"]] slice_field_viewer = analysis.viewers.SliceFieldViewer(inputs=inputs) slice_field_viewer.Data.Mode = slice_field_viewer.Data.Mode.enum.QuantityRealPart slice_field_viewer.Slice.Plane = slice_field_viewer.Slice.Plane.enum.XZ slice_field_viewer.Slice.Index = 155 slice_field_viewer.UpdateAttributes() document.AllAlgorithms.Add(slice_field_viewer)
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To get the field as a numpy array:
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 ReleaseVersion from s4l_v1 import Unit # Creating the analysis pipeline # Adding a new SimulationExtractor simulation = document.AllSimulations["Single Element Focused Transducer"] simulation_extractor = simulation.Results() # Adding a new AcousticSensorExtractor acoustic_sensor_extractor = simulation_extractor["Overall Field"] document.AllAlgorithms.Add(acoustic_sensor_extractor) # Adding a new SliceFieldViewer field = acoustic_sensor_extractor.Outputs["p(x,y,z,f)"] # Remember to update # Otherwise this script will fail unless you have already extracted results in the GUI field.Update() field_np = field.Data.Field(0) # Field as flattened 1D array # 3D Field dimensions (which might be different to grid dimensions) # Data is often times defined at cell centers, Grid at cell nodes dims = numpy.array(field.Data.Grid.Dimensions) if numpy.prod(dims) != len(field_np): dims = dims-1 field_np = field_np.reshape(dims, order='F') # Field as 3D array xaxis = field.Data.Grid.XAxis yaxis = field.Data.Grid.YAxis zaxis = field.Data.Grid.ZAxis # You can now manipulate field_np as you wish field_angle = numpy.unwrap(numpy.angle(field_np))
To plot your numpy array back into sim4life you create what is known as a 'Trivial Producer' which holds your numpy array which can be manipulated in the analysis tab:
data = field_angle grid = analysis.core.RectilinearGrid() grid.XAxis = xaxis grid.YAxis = yaxis grid.ZAxis = zaxis # Careful, the new field is a field of Doubles, changes to ComplexFieldData # if you need to work with complex numbers new_field = analysis.core.DoubleFieldData() new_field.Grid = grid if data.size == (len(grid.XAxis) * len(grid.YAxis) * len(grid.ZAxis)): new_field.ValueLocation = analysis.core.eValueLocation.kNode elif data.size == (len(grid.XAxis)-1) * (len(grid.YAxis)-1) * (len(grid.ZAxis)-1): new_field.ValueLocation = analysis.core.eValueLocation.kCellCenter else: print "ERROR: Grid and Data don't match" assert False new_field.NumberOfComponents = 1 new_field.NumberOfSnapshots = 1 new_field.Quantity.Name = "My Field" # Note: memory layout is such that x is fastest, z slowest dimension values = data.ravel('F') values = values.astype(numpy.float64) # Change if working with ComplexFieldData new_field.SetField( 0, values ) assert new_field.Check() producer = analysis.core.TrivialProducer() producer.Description = "My Trivial Producer" producer.SetDataObject(new_field) document.AllAlgorithms.Add(producer)
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Thank you very much for the detailed instructions.
I tried the first code you gave me and it works for a single sensor as expected.
(just need to add input.Update()).
In my case I have several sensors so I need to use a for loop in order to extract the phase value on each sensor.
My code is:from future import absolute_import
from future import print_function
import sys, os, math
import h5py
import s4l_v1.model as model
import s4l_v1.simulation.acoustic as acoustic
import s4l_v1.analysis as analysis
import s4l_v1.document as document
import scipy.ioimport numpy
import s4l_v1.document as document
import s4l_v1.materials.database as database
import s4l_v1.model as model
import s4l_v1.simulation.acoustic as acoustic
import s4l_v1.units as units
from s4l_v1 import ReleaseVersion
from s4l_v1 import Unittry:
# Define the version to use for default values
ReleaseVersion.set_active(ReleaseVersion.version5_2)# Creating the analysis pipeline # Adding a new SimulationExtractor simulation = document.AllSimulations["My simulation"] simulation_extractor = simulation.Results() for i in range(0,128): # Adding a new AcousticSensorExtractor acoustic_sensor_extractor = simulation_extractor["Sensor" + str(i)] document.AllAlgorithms.Add(acoustic_sensor_extractor) input = acoustic_sensor_extractor.Outputs["p(f)"] input.Update() # Get Point Sensor data (output is complex pressure) output = input.Data.GetComponent(i) # Post Process: Angle output_angle = numpy.angle(output)
except Exception as exc:
import traceback
traceback.print_exc(exc)
Reset active version to default
ReleaseVersion.reset()
raise(exc)When I run this code the console gives this message:
File "C:\Users\PC\Documents\Sim4Life\5.2\Scripts\temp\BP p(f) extractor.py", line 58
Reset active version to default
^
SyntaxError: invalid syntaxany idea?
Thanks
Annalisa
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"input.Update()"
- you're right. As a general rule, make sure to always have this (if results are extracted and updated in the GUI you might not get this error)
Not sure why you get this error but this line seems wrong:
GetComponent(i) ... Should probably be GetComponent(0)Components are typically useful when you have vector fields, In which case GetComponent(0) probably corresponds to E_x, GetComponent(1) to E_y, etc.. They should typically be set to 0 since most fields have only 1 'component'. (not to be confused with snapshots which typically refer to time snapshots or frequency snapshots, where 0 is the main harmonic)
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Just tried it on a simple example and seemed to work ... Maybe get rid of
try: # Define the version to use for default values ReleaseVersion.set_active(ReleaseVersion.version5_2)
and
except Exception as exc: import traceback traceback.print_exc(exc) Reset active version to default ReleaseVersion.reset() raise(exc)
(seems that 'reset active version ...' line should be a comment)
This is what I tried:
# -*- coding: utf-8 -*- # Creating the analysis pipeline # Adding a new SimulationExtractor simulation = document.AllSimulations["Single Element Focused Transducer - Copy"] simulation_extractor = simulation.Results() for i in range(1,5): # Adding a new AcousticSensorExtractor acoustic_sensor_extractor = simulation_extractor["Focus " + str(i)] document.AllAlgorithms.Add(acoustic_sensor_extractor) input = acoustic_sensor_extractor.Outputs["p(f)"] input.Update() # Get Point Sensor data (output is complex pressure) output = input.Data.GetComponent(0) # Post Process: Angle output_angle = numpy.angle(output) print i, output_angle
and this was my output:
1 [ 1.69136047] 2 [ 1.69136047] 3 [ 1.69136047] 4 [ 1.69136047]
(my point sensors were all at the same location)
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Now, I want assign each phase value to an element of my transducer.
But using my code:for i in range(0,128): source_settings = acoustic.SourceSettings() source_settings.Name = "Source Settings" + str(i) source_settings.Amplitude = 100000.0, Unit("Pa") source_settings.Phase = -output_angle[i], units.Degrees simulation.Add(source_settings, components[i])
does not work because in output_angle (evaluated with the previous code) I have only the last value (corresponding to sensor#127).
I would need to allocate all the phase values in a callable list (?) in order to be able to use the for loop.
Thank for further helps -
You need to make output_angle into an array and append the new values at the end every time (the i-th element will have the i-th phase you want)
output_angle = numpy.array([]) for i in range(0,128): # your code output_angle = numpy.append(output_angle, numpy.angle(output))