Detecting Radiological Threats in Urban Areas

Detect, locate, and characterize radiological sources hidden along urban streets.

Department of Energy - National Nuclear Security Administration

Type of Challenge: Analytics, visualizations, algorithms
Partner Agencies | Federal: National Nuclear Security Administration, NASA
Partner Agencies | Non-federal: Los Alamos National Laboratory, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory
Submission Start: 03/08/2019 09:00 PM ET
Submission End: 04/19/2019 09:00 PM ET

This challenge is externally hosted.

You can view the challenge details here: https://www.topcoder.com/lp/detect-radiation

Description

Our goals are to spur new, innovative thinking in radiation detection algorithms by engaging a broader community. For this competition, we have used radiation transport simulations to create thousands of data sets resembling typical radiological search data collected on urban streets in a mid-sized U.S. city. Each data set – called a run – simulates the detection events received by a standard thallium-doped sodium iodide detector driving along several city street blocks in a search vehicle. All of the runs contain data on radiation-detector interaction events from the natural background sources (roadway, sidewalks, and buildings), and some of the runs also contain data arising from non-natural extraneous radiation sources. Your task is to determine whether there’s a source present on the street, and if so where and what kind it is.

Prizes

Prize Distribution
Cash Prize Amount: $100000

1st: $25,000

2nd: $18,000

3rd: $15,000

4th: $12,000

5th: $7,500

6th: $6,500

7th: $5,500

8th: $4,500

9th: $3,500

10th: $2,500

Rules

See Topcoder site for details.

How To Enter