In Sim4Life, the complex field S(x,y,z,f0) is (one half of) the cross product of the complex fields E(x,y,z,f0) and H(x,y,z,f0), both of which are the complex representation of harmonic fields (actually S = 0.5 E cross H*, where H* is the complex conjugate of H) The time-averaged Poynting vector (if you want the power flow) is given by Re(S) See the Wikipedia article (https://en.wikipedia.org/wiki/Poynting_vector) for more detail. EDIT: this post was corrected to reflect the notations used in Sim4Life, namley that S(x,y,z,f0) is already the time-averaged quantity and includes the factor 1/2.

I typically just take screenshots (I recommend SnagIt since it 'snaps' screenshots to subwindows (for example, just the rendering window). Alternatively, for reproducibility, I sometimes use a script to take screenshots. There's a third way (unfortunately not so reliable), which is to use the built in Screen shot grabber ... Go to 3D View -> Screen Capture (you need to configure it first ... I say it's unreliable because saving a particular '3D View' (Camera Settings -> Save) doesn't work well when you reimport it (views get forgotten or overwritten) For the script I do something like this. I create a wireframe, zoom to it, and then use the following script (which you'll need to tweak via trial and error since you might get weird behavior for the color bars and ruler, axis, etc). #Manual Record Screenshot import s4l_v1 as s4l import XCoreModeling import XRendererUI import XCoreUI bb = "CameraBoundingBox" e_cam = s4l.model.AllEntities()[bb] bb_pts = XCoreModeling.GetBoundingBox([e_cam]) oglview = XCoreUI.GetUIApp().Frame.MainView[0] oglview.ZoomTo(bb_pts[0], bb_pts[1]) x_size = bb_pts[1][0]-bb_pts[0][0] z_size = bb_pts[1][2]-bb_pts[0][2] img_dim = [x_size,z_size] screen_prefix = "Test" screen_name = "Test" XRendererUI.SaveScreenCapture(width = int(1000*img_dim[0]/img_dim[1]), height = 1000, \ transparent_background = False, output_folder=r"C:\Users\montanaro\Desktop\Screen", \ output_prefix=screen_prefix+screen_name)

Thanks a lot !

Answered in your other post: https://forum.zmt.swiss/topic/253/how-do-i-calculate-the-full-width-at-half-maximum-fwhm-volume-data-in-acoustic-ultrasound-simulation You would probably need to update the script slightly to use Intensity (a scalar real field) instead of pressure field (scalar complex field) and there would be no need for 'postprocessing' of the field (taking the absolute value of the pressure field; see Notes in my response)

@LJ thanks

Thank you very much for your answer! I was observing a mutual inductance in my simulations, but I wasn't sure why it was being generated. I guess I need to read up more on how boundary conditions for current sources are implemented in Sim4Life :)

Thanks a lot for sharing your solution!

@dstoupis We just figured out an issue with the Sweeper and Optimizer in Sim4Life light 5.2.1.1375. We have starting on working on a fix which should be available in the coming few weeks. If you urgently need to use the features, you have the option to use an older version of Sim4Life light, e.g., 4.4. If you do not have the installer anymore, please drop us a light at s4l-support@zmt.swiss.

Are you perhaps using Sim4Life using Remote Desktop or TeamViewer, or something similar? There are sometimes issues with the graphics drivers when using those software, preventing the Workbench to work correctly. If that's the case, there should be some warnings/errors in the Console when you start Sim4Life, mentioning issues with OpenGL.

Hi, I would advice you to look into the Tutorial examples related to 5G (in the FDTD or Optimization tutorial sections). They all include some analysis of beam patterns. The key ingredients are the "Far Field Sensor", the "Radiation Evaluator" and the "1D Filter"

Thank you. How can I display the big green arrow that shows the max direction. There was an option "Show Max Direction" (see screenshot above).

Dear supporter, It did actually speed the process up quite a bit. Thanks a bunch.

@Spuky you are looking for the "SAR Statistics" algorithm, in the Dosimetry tools. It is computed directly from the E-field and is different from using the "Statistics" algorithm on the "local SAR" field. [image: 1573025607511-b68d7134-8261-434e-8c4f-e58c36892e21-image-resized.png]

after the line sensor_extractor.Update() you can access the data using either: sensor_extractor["v"].Data.GetComponent(0) (if 1D data) sensor_extractor["v"].Data.Field(0) (if 3D data) these return the numpy array holding the raw data. Type dir(sensor_extractor["v"].Data) in the Console to get a list of available functions that can be useful for Data objects.