D203-3 Gravitational Filtering For Teleportation Purposes

Good morning, everyone. I hope you’re doing well. Right now, I’m in the middle of a very intense period. Making this course while running my campaigns has been chaotic; when you push big projects, your life tends to go through turbulence. Today, for example, I spent three and a half hours on a bus ride that should have taken forty‑five minutes. It feels like I’m trying to push out new content between a hundred different tasks. But that’s life, isn’t it?

In this post, I want to talk about the teleportation unit I’ve been working on. As I’ve discussed in earlier videos, a critical part of this system is the fluxgate sensor network. These sensors measure changes in magnetic flux caused by gravitational variations. They take real‑time readings, generating enormous amounts of raw data—reams and reams of numbers—that must be organized into something meaningful.

Luckily, there are algorithms and software that can do this for you. They take the gravitational readings from multiple sensors and build a three‑dimensional representation of the environment. Yes, that technology already exists. Through mathematics and some AI, these programs interpret gravity data into a model of the space around the portal.

Here’s how it works. Imagine you place gravitational sensors all around a cinder block on a sidewalk. People walk by, dogs pass, rain or snow falls. The sensors constantly measure the changing gravitational field. The algorithm then processes all those readings and produces a three‑dimensional visualization. Using the same approach, you can create a 3D reading of the egress port of a teleportation unit.

What you want to identify is what’s fixed—the portal itself—and what’s moving—the person or object entering or exiting. By watching the real‑time model, you’ll see a blur moving into or out of the portal. The software distinguishes between this lighter, moving mass and the heavier, stationary mass of the portal and its surroundings. That distinction is key.

Why? Because you don’t want to teleport everything in the room. You only want to teleport the person (and perhaps what they’re carrying). The algorithms handle this separation by focusing on mass differences. Once you isolate the mass you intend to teleport, you can extract its data from the environment and apply it to a new location in time and space. That’s essentially how world‑line travel or time travel works at a practical level.

The system works by:

Identifying the gravitational coordinates of the target mass.
Subtracting that mass from the background environment.
Quickly switching the teleporter’s coordinates to inject the new “destination” coordinates.
Using the surrounding flux field to “reset” the mass at its new location.

It sounds complicated, but once you understand the process, it’s surprisingly robust. You’re not likely to end up with three eyes or missing hair; the system is built to be stable.

Different algorithms exist to process the sensor data—polynomial surface fitting, minimum curvature methods, finite element analysis, endpoint sampling, and even 3D magnetic inversion. Each one has its strengths. In Part Two of my DIY index, I’ve listed six different programs that can perform these tasks. You don’t need to write the math from scratch; you can buy the software off the shelf or commission someone to implement it.

Think of it like buying a car: most people don’t care how the engine works; they just want to know it runs smoothly. If you’re a true engineer, you can dive into the equations, but the important thing is that the software exists and works.

To summarize:

Place fixed fluxgate sensors around the teleportation portal.
Take continuous gravitational readings as someone walks in.
Crunch the numbers using your chosen algorithms.
Use filters to separate the person from the portal itself.
Generate a 3D model of the scene in real time.
Extract the person’s coordinates as your egress coordinates for teleportation.

This happens in a fraction of a second, giving you a precise map of the person entering the portal and allowing you to project them to a new location safely. In the next video, I’ll discuss how to calculate arrival coordinates.

Until then, remember: don’t take life too seriously, even when working on complex systems like this. Stay curious, stay careful, and keep pushing forward. I believe in you.