Chrono-Tomography: Pioneering back propogated time deviation tomography.

Ok, so this is a big accomplishment for me.

The image above is the first 3D model generated using my newly pioneered concept of chrono-tomography on August 1, 2023. Remember, you heard it here first folks.

The image represents one day of data collection from D101, at one second intervals. The data is collected as the earth rotates, providing angular data registration.

After collection, the data is processed in my Matlab program using back-propagation tomography, with an angular resolution of 1 degree.

If you recall, doctors use CT scans, which are x-ray based Computed Tomography. By rotating the x-ray machine around the object to be imaged, the CT machine captures angular indexed density data, which is then processed using back-propagation to compute an image of the internal structure of the object being studied.

In my case, D101 is measuring very tiny changes in measured frequency, and collecting these measurements with angular data as the earth rotates. After one complete rotation, I then process the dataset using the same methodology that a CT scan uses.

The image above represents a 69 mile wide region of space, and depicts a structure that would produce my data stream (as collected by D101), assuming there were a static signal being transmitted through this region. This structure would modulate the signal, and the result would match the measured frequency pattern.

Wow... this is a lot to get your head around. It is not an x-ray through earth, but an experiment to see if there is static structure that would fit the signal data I have collected.

The conclusion- yes, there is a pseudo static representation within space that would produce the data stream collected.

Lot's more to come on this topic.