# Aurora Borelis with Ai — Electric Sun

> Electric Sun (iPhone/iPad app by David Nishimoto.)

- Source: https://appshunter.io/ios/app/aurora-borelis-with-ai/id6784018059 (this page in markdown: same URL + `.md`)
- Developer: [David Nishimoto](https://appshunter.io/developer/1271438988)
- Category: Education, Productivity
- Price: $19.99
- Age rating: 4+
- Requires: iOS 26.0 · 4 MB
- Languages: American English
- Released: 2026-06-30
- Data updated: 2026-08-15
- User reviews in markdown: https://appshunter.io/ios/app/aurora-borelis-with-ai/id6784018059/reviews.md

## What is Aurora Borelis with Ai?

The QRTL Aurora Borealis pipeline begins with the solar wind, which supplies the incoming plasma, velocity, temperature, and magnetic conditions that drive changes in Earth’s near-space environment. Solar-wind pressure determines how strongly this flow compresses Earth’s magnetosphere, while the interplanetary magnetic field establishes the external magnetic orientation. Together, these conditions interact with Earth’s dipole magnetic field, which provides the basic structure that guides charged particles toward the polar regions. The resulting balance determines the magnetopause boundary and how much it is compressed or expanded.

At the magnetopause, magnetic reconnection provides a mechanism for transferring energy and plasma between the solar wind and magnetosphere. The amount of transferred energy influences magnetospheric plasma loading, determining how much plasma is available for current systems and eventual particle precipitation. In the proposed QRTL extension, this environment produces spatial QRTL density differences. Those density gradients drive QRTL flow, which then couples to the ionized plasma and influences its motion. This QRTL flow is connected to the modeled Birkeland current system, providing a pathway between the magnetosphere and ionosphere.

The dipole field then maps these currents and particles along magnetic-field-connected pathways toward the polar ionosphere. Local ionospheric magnetic-field strength determines how the plasma behaves as it approaches the upper atmosphere. Electromagnetic energy can accelerate charged particles along the field lines, producing distributions of particle velocity and energy. The Lorentz force governs their response to electric and magnetic fields, while E×B drift produces broader plasma motion across the magnetic field. Alfvén-wave propagation provides another pathway for electromagnetic disturbances and energy to travel along magnetic-field lines.

As the plasma moves, compression changes its density and shear creates differences in velocity between neighboring regions. These conditions can produce wave-like and filamentary structures, including Kelvin–Helmholtz-type perturbations. Within the QRTL model, the flow is separated into azimuthal swirl and axial or field-aligned motion. Primary and return flows provide complementary particle and current pathways. The resulting currents can modify the surrounding magnetic environment, creating a feedback relationship in which QRTL flow influences current, current influences the magnetic field, and the changed magnetic field influences subsequent plasma motion.

Dipole and Lundquist-type magnetic calculations provide structured magnetic geometry, while magnetic flux tubes organize particles and currents along connected field structures. Eventually, energetic particles precipitate into the upper atmosphere and deposit their energy into atmospheric gases. Oxygen and nitrogen become excited and release photons as they return toward lower-energy states. Oxygen contributes strongly to green and red emissions, while nitrogen contributes blue and purple emissions. Altitude and particle energy influence which emissions dominate.

Finally, particle energy and lifetime determine visible brightness, while particle advection continuously moves the modeled plasma through the magnetic environment. Magnetic-field visualization exposes the calculated field and current structures. Time evolution continuously updates the solar-wind conditions, reconnection state, currents, QRTL flow, magnetic fields, particle motion, energy, brightness, and color. Together, these interacting processes produce the modeled auroral arcs, curtains, rays, and overall Aurora Borealis morpholog


## Version history (last 3 releases)

### 3 — 2026-08-12

new equations in the pipeline

### 2 — 2026-07-02

I adjusted the camera to lookup at the aurora Borelis and increased the ratio of the plasma field to match that of earths size.  Also I allow ground level to move towards the center to get a better view of the aurora Borelis simulation

### 1.0 — 2026-06-30

No release notes.

## More apps by David Nishimoto

- [Balanced Eat](https://appshunter.io/ios/app/balanced-eat/id1271438989)
- [Louise AI Chat](https://appshunter.io/ios/app/louise-ai-chat/id6749811490)
- [LouiseAiArticleBuilder](https://appshunter.io/ios/app/louiseaiarticlebuilder/id6751246913)
- [Louise Ai Disease Predictor](https://appshunter.io/ios/app/louise-ai-disease-predictor/id6751450754)
- [Louise AI DIY Car Repairs](https://appshunter.io/ios/app/louise-ai-diy-car-repairs/id6751601285)
- [Louise Ai Vehicle Value](https://appshunter.io/ios/app/louise-ai-vehicle-value/id6752220631)

All apps by David Nishimoto: https://appshunter.io/developer/1271438988

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-15.*