Please fill out survey HERE to make the course better for future iterations!
NOTE: These are ONLY to help me make the class better, not as a "grade" or anything like that silliness.
Reminder of what we have done/some intro to what we are doing today.
START HERE!!! Main Adventure (Choose Your Own Adventure #1)
Python code for solving for a multiplanet system IN THE THIRD DIMENSION.
Questions: (1) Once you have a stable system, how easy is it to disrupt? (2) What sorts of properties of the disrupting body
effect how efficient the disruption is?
Choose Your Own Adventure #2
Read in some Kepler data from a confirmed planet system and plot its orbits. Also, throw something at it
from the z-axis. See if you can distrupt it.
Questions: (1) What sorts of properties of the disrupting body
effect how efficient the disruption is? (2) Can you disrupt this system with more than 1 body? How do
the parameters of each body effect the disruption?
Choose Your Own Adventure #3
Install the python N-body package "Rebound" and play with the Solar System examples.
Questions: (1) What do the different integrators do? (2) How many extra bodies can you add to your
calculation before it slows down too much? How did this compare to the Hermite solver? Why do you think this is?
Choose Your Own Adventure #4
Do calculations and plots with the python N-body solver "Rebound" following the merger of two galaxies.
Questions: (1) How different does the final galaxy look depending on how many particles you use?
(2) How does the dynamics change with different integrators?
IMPORTANT: this code can be taxing on your computer!
Goes over some pros/cons of different sorts of integrators. Hermite integrators are discussed in section 2.3.2.
Can you make a stable system?
Can you please your alien overlords by building them awesome planetary systems?
The intro and its equations are the specific points about stability in this paper.
Figure 1 is just pretty cool in general, and Figure 2 shows the distribution of spacing between planets.
A BUNCH of figures looking at how different parameters of the system effect the stability.