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🛰️ GPT-5 RF Field Mapping: When Things Get Weird, Go Back to Basics

 


This weekend I had a little extra time, so I ran a quick sanity check on the CesiumJS RF field mapping project. I pulled all the buildings out of the Python model to see if the results matched what a bare quarter-wave vertical antenna should look like on its own. It wasn’t that anything seemed wrong — I just wanted to make sure the simplest case still looked the way physics says it should.

At first, he results were surprising — most of the points vanished. I fixed it. Then the field strength was highest at ground level instead of rolling off.

After some debugging (and a few questions for GPT-5), the ground reflection model was corrected, and the field now looks just like the math says it should: deep null at the base, smooth roll-off to vertical, and a uniform pattern throughout.

Sometimes, the most productive way forward is backward — strip the system down and see if the simplest case still holds true.

All the details can be found in the video below.




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