NOrbit 1.0.1

A package for N-body integration using the Runge-Kutta 4th Order Method

NOrbit

NOrbit is a Python package designed for simulating the N-body problem using a Runge-Kutta 4th order integration scheme. The code provides functions for converting between Keplerian and Cartesian coordinates, calculating accelerations, calculating derivatives, and simulating the orbits of objects in an N-body system.

Installation

Clone the repository and install the required dependencies using the following commands:

pip install NOrbit

or with plotting dependencies

pip install NOrbit[plot]

Usage

Here's an example of how to use the NOrbit package:

import numpy as np
from src.NOrbit import NOrbit, Object

planets_inner_solar_system = Object.planets_inner_solar_system # list of orbital elements and masses of inner solar system planets

m_sun = 1.0 # mass of sun in solar masses

solar_system = NOrbit(object_elements = planets_inner_solar_system, m_primary = m_sun) # base model of solar system

dt = 1/100 # time-step of integration
n_orbits = 100 # number of orbits of first planet (Merkury) around Sun

inner_solar_system_positions = solar_system.orbit(dt = dt, n_orbits = n_orbits)[0] # orbital position calculations for inner planets and Sun

For a more detailed example, please check the Example Notebook (NOrbit example.ipynb)

Objects

Object.mercury
Object.venus
Object.earth
Object.mars
Object.jupiter
Object.saturn
Object.uranus
Object.neptune

Grouped Objects

Object.planets_solar_system
Object.planets_solar_system_names

Object.planets_inner_solar_system
Object.planets_inner_solar_system_names
Object.planets_outer_solar_system
Object.planets_outer_solar_system_names

License

Distributed under the MIT License. See LICENSE for more information.

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