Science Hack Day 2011 (San Francsico)

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(The physics)
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** [https://github.com/tpmccauley/igfiles C++ API for .ig files.
 
** [https://github.com/tpmccauley/igfiles C++ API for .ig files.
 
* The .ig files are essentially zipped [http://json.org/ JSON files].
 
* The .ig files are essentially zipped [http://json.org/ JSON files].
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=== Repository ===
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* I've created a repository for us to use for the weekend hack at [https://github.com/mattbellis/science_hack_day_2011 github.]
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=== Tools ===
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* I'll bring some helloworld-esque coding example on how to display and analyze the data using [http://www.python.org/ Python] and [http://matplotlib.sourceforge.net/ matplotlib]. I don't know that this will be the endgame for analysis, but it's a jumping-off point.
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* If we're aiming for web-based visuals, [http://processingjs.org/ processing.js] and it's parent project [http://processing.org/ processing] may be a good place to start.

Revision as of 17:56, 8 November 2011

Contents

General links

Science Hack Day main site

Science Hack Day, San Francisco

The LHC data hack

All the ideas for SHD11

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.

Useful and preparatory links

Here's some preliminary links which should help you come up to speed on the goals and possibilities for this hack!

The physics

Data

Repository

  • I've created a repository for us to use for the weekend hack at github.

Tools

  • I'll bring some helloworld-esque coding example 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.