Artículo: AMZ-B0FQVC38FM

Python Code Collection for Practical Satellite Engineering: Code, Systems, and Simulation

Disponibilidad
En stock

Peso con empaque
1.31 kg

Devolución
Sí

Condición
Nuevo

Producto de
Amazon

Sobre este producto

Thermal survival scripts that calculate conduction through baseplates, radiation to deep space, and transient heating of RF payloads — because every watt of waste heat matters.
Power system models that track solar array output, eclipse cycles, and battery state-of-charge with realistic efficiency losses.
Propulsion code that computes delta-V budgets, mass flow, and burn durations, tied directly to Tsiolkovsky’s rocket equation.
Communications link budget routines that convert dBs, antenna gains, and path losses into a usable margin you can trust.
Navigation and augmentation functions that integrate SBAS and GBAS corrections, Doppler shifts, and slant-range geometry for precise positioning.
Imaging and sensing algorithms that generate diffraction-limited point spread functions, radiometric calibration curves, and realistic noise models.
Threat detection and reliability code that flags jamming, unauthorized access, and collision risk events in a running satellite simulation.
Orbit propagation and ground pass scripts that let you visualize coverage, eclipse windows, and Doppler shifts with modern libraries like Astropy and Poliastro.
Engineers who want ready-to-use models for design studies, simulations, or mission analysis.
Students who want to go beyond textbooks and learn satellite systems by coding them directly.
Space enthusiasts who want a deeper look at how spacecraft actually work — through the numbers, equations, and programs that make them fly.