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computing-basics-larsoft

This site offers training for the LArSoft software used by the DUNE.

https://github.com/dune/computing-basics-larsoft

Science Score: 54.0%

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This site offers training for the LArSoft software used by the DUNE.

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Created 7 months ago · Last pushed 7 months ago
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Readme Contributing Funding License Code of conduct Citation Authors

README.md

DUNE Computing Training for LArSoft

LArSoft is a software framework that provides tools for simulating, reconstruction, and analysis of data captured in liquid argon time projection chambers.

These training materials are a work in progress and are being developed for tutorials offered in 2025.

This repository holds the source code of the webpage that is rendered here.

This training module is part of an initiative of the DUNE Computing Consortium.

When:

2024 revisions to online version

Live versions are delivered 1-2 times/year but this document can also be worked through on your own.

Learn the basics of DUNE computing: storage spaces, data management, LArSoft, grid job submission

Live sessions

New! Lectures will be recorded. There will be hands-on, facilitated with a Q&A on a live doc. New! There will be quizzes and special sessions “expert in the room” to answer questions of beginners and not-so-beginner about their code.

How to do these tutorials.

Participants must have a valid FNAL or CERN account.

Participants must have a valid FNAL or CERN account. The Indico site will be announced is https://indico.fnal.gov/event/59762/

Apply immediately if you do not yet have accounts at either lab (info).

Questions?

Contact the organizers at: dune-computing-training@fnal.gov

New slack channel: #computingtrainingbasics

Contributing

Report file an issue in this repository

Maintainer(s)

Maintainers of this GitHub space are:

  • David DeMuth
  • Heidi Schellman

Authors

Lead Authors:

  • Tom Junk

A list of contributors to the lesson can be found in AUTHORS

The lesson framework utilizes the the Software Carpentry's styles template.

Citation

To cite this lesson, please consult with CITATION

Owner

  • Name: DUNE
  • Login: DUNE
  • Kind: organization

Deep Underground Neutrino Experiment

Citation (CITATION) 

Please cite as:

Dune Collaboration: "DUNE Computing Tutorial" Version 2024.01

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Dependencies

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.github/workflows/website.yml actions
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Gemfile rubygems
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