
Artemis II - Data ya Kuruka ya JPL Horizons
Maagizo
Muhtasari wa Harakati
Muhtasari wa Harakati
Vifaa kwa hatua hii:
Model Rocket Kit (High-Power)1 (SLS Block 1 reference) kipande
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) kipande
Astronaut Crew4 vipandeZana zinazohitajika:
Rocket Launch PadKuhifadhi Maktaba
Kuhifadhi Maktaba
Vigezo vya Dunia na Mwezi
Vigezo vya Dunia na Mwezi
Data ya Roketi ya SLS Block 1
Data ya Roketi ya SLS Block 1

Kasi ya Obiti ya Duara
Kasi ya Obiti ya Duara
Kasi ya Kutoroka
Kasi ya Kutoroka
Usawa wa Roketi wa Tsiolkovsky
Usawa wa Roketi wa Tsiolkovsky
Pigo la Trans-Lunar
Pigo la Trans-Lunar
Trajectory ya Kurudi Kwa Uhuru
Trajectory ya Kurudi Kwa Uhuru

Mwezi Flyby Hyperbolik
Mwezi Flyby Hyperbolik
Mvuto katika Sehemu Muhimu
Mvuto katika Sehemu Muhimu
Kuingia Tena kwa Angahewa
Kuingia Tena kwa Angahewa

Ratiba ya Harakati
Ratiba ya Harakati
Uimarisho wa Trajectory
Uimarisho wa Trajectory
Muhtasari wa Bajeti ya Nishati
Muhtasari wa Bajeti ya Nishati
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.
Vifaa
6- 1 (SLS Block 1 reference) kipandeKishikilia Nafasi
- 1,000,000 kg (2 boosters) kipandeKishikilia Nafasi
- 1 (CM-003 Integrity) kipandeKishikilia Nafasi
- 4 vipandeKishikilia Nafasi
Zana Zinazohitajika
1- Kishikilia Nafasi
CC0 Umma Wote
Mchoro huu umetolewa chini ya CC0. Uko huru kunakili, kubadilisha, kusambaza, na kutumia kazi hii kwa madhumuni yoyote, bila kuomba ruhusa.
Saidia Mtengenezaji kwa kununua bidhaa kupitia Mchoro wao ambapo wanapata Kamisheni ya Mtengenezaji iliyowekwa na Wachuuzi, au unda marudio mapya ya Mchoro huu na uiunganishe kama kiungo katika Mchoro wako kuchangia mapato.