The LHC data hack
One of the experiments from the Large Hadron Collider, the Compact Muon Solenoid (CMS) experiment), has released a small amount of the data for educational purposes. However, it is hard to access and even more difficult to understand. Can we hack a better interface to these data? Can we create a website to allow others to use these data for education or art? Or can we do real SCIENCE with these data (my super-high-aiming goal!)???? I'll bring the data and explain what is in these datasets and some simple tools to interface with these data. Looking for hackers, coders, educators, artists and definitely designers, to figure out if this can be done.
Here's some preliminary links which should help you come up to speed on the goals and possibilities for this hack!
- The data come from the Compact Muon Solenoid (CMS) experiment at the LHC.
- Much of the physics analysis relies on a working knowledge of Four-vectors and how they relate energy, momentum, velocity and mass at speeds where Einstein's special theory of relativity becomes relevant.
- Links to the publicly available data.
- A description of the .ig format used in some of these files.
- The .ig files are essentially zipped JSON files.
- I've created a repository for us to use for the weekend hack at github.
- I'll upload to the repository some hello-world-esque coding examples on how to display and analyze the data using Python and matplotlib. I don't know that this will be the endgame for analysis, but it's a jumping-off point.
- If we're aiming for web-based visuals, processing.js and it's parent project processing may be a good place to start.
Web page for the hack
I'm hosting my site at Bluehost which will let us host a site we write, or use one of their installed versions of a bunch of webby tools (Wordpress, MediaWiki, Drupal, etc.) from SimpleScripts. I don't know this part of the hack well at all, so I'm very much looking forward to designers to get this part up and running.
Even before this project begins, thanks goes out to the CERN and Fermilab CMS collaborators who have helped get this off the ground.
- Tom McCauley (FNAL)
- Tom Jordan (FNAL)
- Giulio Eulisse, developer of ig and iSpy (FNAL)
- Kati Lassila-Perini (CERN)