The Langton Ultimate Cosmic ray Inetensity Detector Interactive Test s Y stem is a web app for running and managing simulations of the LUCID detector. It is based on the Hobo Ruby on Rails framework, and was used in the research reported in:
i.e. the proceedings from the corresponding conference presentation at the 20th International Conference on Computing in High Energy and Nuclear Physics, a.k.a. CHEP 2013.
- This code dates from 2013. While every attempt has been made to ensure that it is usable, some work may be required to get it running on your own particular system. Unfortunately CERN@school cannot guarantee support for this. Please proceed at your own risk.
- This repository is now deprecated, and remains here for legacy purposes. For future work regarding LUCID and CERN@school, please refer to the Institute for Research in Schools (IRIS) GitHub repository. Please also feel free to fork and modify this code as required for your own research.
CERN@school was supported by the UK Science and Technology Facilities Council (STFC) via grant numbers ST/J000256/1 and ST/N00101X/1, as well as a Special Award from the Royal Commission for the Exhibition of 1851. The CERN@school Collaboration would also like to acknowledge the support provided by the GridPP Collaboration in terms of both computing resources and technical guidance from collaboration members.
To clone the LUCIDITY repository to your system open a terminal
shell and type the following commands.
cd $WORKINGDIR # environment variable for your working directory,
# i.e. change directory to your working directory.
git clone https://github.com/CERNatschool/LUCIDITY
cd LUCIDITYAdvanced users may wish to fork the LUCIDITY repo so that
you can play with the code and commit your own changes to your GitHub
account. Go for it!
- The Institute for Research in Schools (IRIS) homepage;
- The IRIS CERN@school website;
- The Official IRIS GitHub Organization;
- The CHEP 2013 presentation on SimLUCID-lite;
- The CHEP 2013 conference proceedings (JINST, Open Access);
- The CERN@school Document Index.