Reader small image

You're reading from  Jupyter Cookbook

Product typeBook
Published inApr 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788839440
Edition1st Edition
Languages
Tools
Right arrow
Author (1)
Dan Toomey
Dan Toomey
author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

Right arrow

Using a complex orbit of multiple objects


The simulation scenario allows for easily adding more objects with varied orbit patterns.

How to do it...

We can use a script like this:

import rebound

# setup simulation
sim = rebound.Simulation()
sim.getWidget()

# add star
sim.add(m=1)

# add ten 'planets'
for i in range(10):
 sim.add(m=1e-3, a=0.4+0.1*i, inc=0.03*i, omega=5.*i)

# center all particles
sim.move_to_com()

# advance the simulation
sim.integrate(500)

# get our final display on screen
fig = rebound.OrbitPlot(sim)
fig

This results in a display like:

How it works...

Just as with the simpler case, we start a simulation. Then, in this case, we add a couple of objects. Each of the objects has a complex orbit about the star. We advance the clock by hundreds of cycles with sim.integrate(500) to gather a complete picture, and we display the results.

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Jupyter Cookbook
Published in: Apr 2018Publisher: PacktISBN-13: 9781788839440

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey