Nice the links, Franco and Esteban.
It seems that these experimenters are interested in the frequencies they are seing displayed on an oscilloscope, while the ion detector is only looking at relative changes in the static ion/electric fields.
If we were to look at the signal at the output of the ion detector on an oscilloscope, then we would be able so see if there are frequencies or noise being sensed at the antenna. This Ion detector should be as sensitive as the detectors in the links shown above if we have a way to see the signal coming from the antenna better than a speaker and analog meter. The oscilloscope shown in the first link is actually a PC that uses the signal converter (probably on the sound card) to display the signl from the sensior circuit. I presume the processed signal is sent into the microphone input or line input, then converted to a voltage that is displayed as an audio wave would be done. The author wrote a C program to create a proper graphic interface that will display the signal with the same scaling as an occilloscope.
He used the inexpensive method instead of using an ordinary oscilloscope. But either way, the key is to find a method to see the full spectrum of the signal that is coming in when we move the dish to different locations with different targets.
A second comment about the low frequency signals that were found on the links above: Many of these signals are man-made signals, For example the low frequency signals that submarines use to communicate from deep under the oceans, and other man-made signals used in power transmission, telemetry, and studies of astronomy, etc. Also, some of these signals appear to be naturally occuring signals which originate in far space, while others seem to originate from within the earth or the earth's atmosphere.
With all these stray signals that are easily measured with sensitive instruments, we are interested in discriminating the signal that will be present when a treasure is in the proximity of the detector.
It is our goal to scan the naturally occuring signals until we see they change in a way that will make us expect there is gold or silver influencing these signals. This is why I think our first step is to take a close look at what signals our sensor is picking up, and learn what are the naturally occuring signals that we should expect. We also need to learn what common environmental anomalies will cause a chang in the signal, so we can predict what should be considered a trash target and what is a good target. This means we should learn what is the influence of a tree nearby, a building, a car driving by, or an airplane, or perhaps how the signal can be expected to change at different times of the day, or different sunspot activity or lunar tides, etc. By becoming familiar with these common influences, we can compensate the detector so it will not confuse us when we are looking for a target.
It seems to me the first step is to connect an oscilloscope to the detector.
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