When you open Chaerus, you are looking at a three-dimensional Lorenz attractor. The butterfly shape is not decorative. It is a mathematical structure that models how chaotic systems move through space over time. Chaerus uses it as a frame for mapping the relationship between environmental data and historical event patterns.
This page explains what everything on screen represents and how to use it.
The Chaerus attractor is a work in progress. Updates to the algorithm, formatting, and historical database are being made as frequently as possible.
The attractor has two looping wings joined at a center point. The system traces a path through both wings continuously. It never follows exactly the same path twice, but it stays within a recognisable boundary. That boundary is the shape of the field. Small changes in conditions shift the trajectory. The overall structure remains.
Drag to orbit the shape. Scroll or pinch to zoom in and out. Double-click to recenter the view.
Eight nodes orbit the left wing. Each one represents a category of environmental data drawn from public scientific sources. These are the inputs to the model.
The stream of charged particles and magnetic field that flows continuously from the Sun toward Earth. Includes field orientation (Bx, By, Bz), flow speed, density, pressure, and electric field. Source: NASA OMNI-2, ACE, DSCOVR.
Ground-level measurements of how the solar wind is disturbing Earth's magnetic field. Kp is the global index of disturbance on a 0 to 9 scale. Dst tracks the intensity of the ring current. AE, AL, and AU measure electrojet currents in the auroral zone. Also includes the RSIx composite scores derived from the research dataset. Source: NOAA SWPC, WDC Kyoto.
The state of the Sun itself. Sunspot number, F10.7 solar radio flux, X-ray flux from GOES satellites, and solar cycle phase. Source: NOAA SWPC, SILSO Royal Observatory of Belgium.
High-energy particles reaching Earth from outside the solar system, tracked by the Oulu neutron monitor in Finland. Cosmic ray flux increases during geomagnetic quietude and solar minimum. Forbush decreases mark sudden drops following solar storms. Source: University of Oulu / NMDB.
The heliospheric current sheet is the boundary between opposite magnetic polarities in the solar wind. Earth crosses it periodically. This node tracks those crossings, sector boundary transitions, and related magnetic orientation features. Source: NASA OMNI-2.
The geometric relationships between planets as seen from Earth and the Sun. Includes angular aspects between bodies, golden spiral and T-square configurations, lunar phase, and syzygy alignment. These patterns appear in the research dataset as correlates of certain event categories. Source: NASA JPL via Skyfield.
Earth's position in its orbit and its distance from the Sun. Perihelion and aphelion flags, Parker spiral angle, Lagrange point distances, heliocentric longitudes of all major planets. Source: NASA JPL via Skyfield.
A node reserved for composite measures of environmental coherence and decoherence. Subcategories are in development.
Nine nodes orbit the right wing. Each one represents a category of real-world events drawn from the research catalog: Civil Unrest, Politics, Terror, War, Tech, Disaster, Health, Market, and Crypto.
Each event node is linked to specific data nodes on the left wing, weighted by the correlations identified in the research. War connects most strongly to geomagnetic conditions. Markets connect more to orbital mechanics and coherence patterns. The weights reflect what the data showed, not theoretical assumptions.
When data conditions on the left wing are elevated, the linked event nodes on the right wing respond. Nodes glow harder and pull more strongly toward the center as their associated data conditions intensify.
The center point where the two wings meet is the convergence gate. It represents the state of the overall field: how much the current environmental conditions resemble the windows that have historically preceded event clustering across all categories.
When the gate is quiet, conditions are dispersed and the system is in a baseline drift state. When conditions stack across multiple data categories simultaneously, nodes from both wings pull toward the center. The Convergence Pulse reading in the panel reflects this.
Three numbers appear at the top of the control panel.
Convergence Pulse is the composite measure of how loaded the current environment is relative to the historical baseline. A higher number means more data categories are elevated simultaneously. It does not indicate that something will happen. It indicates that the field is in a state that has more often appeared around past event windows than at neutral periods.
Top Event is the event category currently showing the strongest response to the active data conditions.
Lead Pair is the strongest active connection between a data node and an event node at the current moment.
Click any node on either wing to open a detail panel. For data nodes, this shows the current scores for each subcategory and what data is present. For event nodes, it shows the historical correlation profile for that event category.
Current combines today's data from NASA and NOAA against the historical event baseline. The data updates daily. This mode shows where the field stands right now relative to the patterns in the research dataset.
Historical lets you set a custom date range and examine what the field looked like at any point in the dataset. Use the category and subcategory filters to focus on a specific event type, then click a node to see the detail for that window. This is useful for examining conditions before specific past events.
The attractor does not tell you what is going to happen. It does not name a date or a place. It does not claim causation between geomagnetic conditions and world events.
What it shows is the structure of the current environment, compared against the structure of environments that have preceded major event clustering in the historical record. Whether those conditions produce an event, what kind, or where, is outside the scope of what the model tracks.
The research documents a statistical association. Chaerus makes that association visible in near-real time. That is the full and honest scope of what it does.