NASA Space Apps 2016 - Lucifer's Screwdriver
Channel: Daniel Wysocki
Date: 2016-04-30

Lucifer's Screwdriver is a project created for the NASA Space Apps 2016 challenge: "Near Earth Objects Machine Learning".

This is a proof-of-concept for using machine learning to identify Potentially Hazardous Asteroids (PHA). The standard definition of a PHA is an asteroid whose closest approach to Earth is below a threshold, and whose brightness is over a threshold. We use an existing tool to compute the distance of closest approach from orbital parameters reported by the Minor Planet Center, and then train a supervised classifier to identify the PHAs.

Github: https://github.com/dwysocki/lucifers-screwdriver/
NASA Space Apps: https://2016.spaceappschallenge.org/challenges/solar-system/near-earth-objects-machine-learning/projects/lucifers-screwdriver