Artemis II - JPL Horizons Flight Data
Mga Tagubilin
Mission Overview
Mission Overview
Materials for this step:
Model Rocket Kit (High-Power)1 (SLS Block 1 reference) piece
Hydrogen144,000 kg (core stage) kg
Oxygen840,000 kg (core stage) kg
Solid Rocket Propellant1,000,000 kg (2 boosters) kg
Orion Spacecraft1 (CM-003 Integrity) piece
Astronaut Crew4 pieceTools needed:
Rocket Launch PadI-import ang Mga Library
I-import ang Mga Library
Mga Parameter ng Lupa at Buwan
Mga Parameter ng Lupa at Buwan
SLS Block 1 Rocket Data
SLS Block 1 Rocket Data
Circular Orbit Velocity
Circular Orbit Velocity
Escape Velocity
Escape Velocity
Tsiolkovsky Rocket Equation
Tsiolkovsky Rocket Equation
Trans-Lunar Injection
Trans-Lunar Injection
Free-Return Trajectory
Free-Return Trajectory
Lunar Flyby Hyperbola
Lunar Flyby Hyperbola
Gravity sa Mga Susi na Puntos
Gravity sa Mga Susi na Puntos
Atmospheric Re-Entry
Atmospheric Re-Entry
Mission Timeline
Mission Timeline
Trajectory Visualization
Trajectory Visualization
Energy Budget Summary
Energy Budget Summary
Python vs Wolfram
Python vs Wolfram
What free Python can do vs Wolfram Mathematica
| Capability | Python (free) | Mathematica ($$$) |
|---|---|---|
| Orbital mechanics equations | NumPy/SciPy — full coverage | Built-in symbolic + numeric |
| JPL Horizons ephemeris data | REST API + gzip/json (as shown above) | HorizonsEphemerisData[] function |
| Unit-aware calculations | Pint library | Built-in Quantity framework |
| 2D/3D trajectory plots | Matplotlib (4-panel dashboard above) | Built-in Graphics3D + Manipulate |
| Real-time ephemeris data | Astropy + JPL Horizons API | Built-in AstronomicalData[] |
| Interactive animation | ipywidgets / Plotly | Manipulate[] — seamless |
| Symbolic algebra | SymPy | Native — Mathematica's core strength |
| Deployment | Runs anywhere (browser via Pyodide) | Requires Wolfram licence or Cloud |
Verdict: Using the same JPL Horizons data source as Wolfram, Python reproduces the Artemis II trajectory with identical data points — 428 state vectors covering the full 10-day mission. The analytical model (Hohmann transfer + patched conics) predicts TLI speed within 3% and flyby distance within 0.4% of reality.
Mathematica's edge is in symbolic manipulation and the seamless Manipulate[] 3D animation. But for numerical computation, data analysis, and reproducibility, Python is fully capable — and this entire blueprint runs in the browser via Pyodide. No server, no licence, no installation.
Mga Materyales
6- 1 (SLS Block 1 reference) piecePlaceholder
- 1,000,000 kg (2 boosters) piecePlaceholder
- 1 (CM-003 Integrity) piecePlaceholder
- 4 piecePlaceholder
Mga Kinakailangang Kasangkapan
1- Placeholder
CC0 Pampublikong Domain
Ang blueprint na ito ay inilabas sa ilalim ng CC0. Malaya kang kumopya, magbago, mamahagi, at gumamit nang walang pahintulot.
Suportahan ang Maker sa pamamagitan ng pagbili ng mga produkto sa kanilang Blueprint Komisyon ng Maker itinakda ng mga Vendor, o lumikha ng bagong bersyon ng Blueprint na ito at isama bilang koneksyon sa iyong Blueprint upang ibahagi ang kita.