https://github.com/atrisovic/lhcb-montecarlo-demo
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (4.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: atrisovic
- Language: Python
- Default Branch: master
- Size: 2.93 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
LHCb production demo
This is an example of LHCb Monte Carlo production chain created for Reana platform.
Data simulated
The Monte Carlo sample created in this example was used in atrisovic/analysis-case-study.
Bookkeeping path: MC/2011/Beam3500GeV-2011-MagDown-Nu2-Pythia8/Sim08a/Digi13/Trig0x40760037/Reco14a/Stripping20r1NoPrescalingFlagged/21113001
More info:
ID: 12704
Name: Charm WG: Greening D->hmumu - Sim08a Model for 2011 data - MD - Pythia8
Type: Simulation
State: Done
Event type: 21113001 D+_K+mumu=DecProdCut
Instructions
Build and run the image with:
$ docker build -t prod .
$ docker run -v /cvmfs:/cvmfs -it --rm prod /bin/bash
Owner
- Name: Ana Trisovic
- Login: atrisovic
- Kind: user
- Location: Cambridge, USA
- Company: Harvard University
- Website: https://anatrisovic.com
- Twitter: atrisovic
- Repositories: 10
- Profile: https://github.com/atrisovic
Computer Scientist and #Reproducibility Researcher at @HarvardBiostats & @IQSS | previously with @UChicago, @Cambridge_Uni and @LHCbExperiment @CERN
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0