We proposed our own problem combining CSA's challenge in finding Near Earth Objects from Canada's very own satellite, NEOSSAT. Additionally, we took the concepts from NASA's Moon rover mission challenge to plan rover/probe missions to NEO's given their trajectory.
- Install python3, pip4, imagemagick, git, and SExtractor
sudo apt-get install python3 python3-dev python3-pip imagemagick sextractor libxt-dev git build-essential
- Install python libraries:
sudo pip3 install scipy pandas numpy pyfits pillow
- Install dep/astroasciidata:
sudo python3 setup.py install
- Install dep/alipy:
sudo python3 setup.py install
- Install dep/A-Track/f2n:
sudo python3 setup.py install
Running python3 neoview.py opens a connection to the Canadian Space Agency's data from the NEOSSAT satellite.
Running help in the dialog will list the few basic commands.
There are several days to choose from. Once you have chosen which data set you like to use, simply call 'use' with
the directory as an argument or call use while in the directory. This will download all *clean.fits files in the
input data directory.
Then use python3 atrack.py inputs_used to run an analysis on the data.