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Status](https://travis-ci.org/jrbourbeau/cr-composition.svg?branch=master)](https://travis-ci.org/jrbourbeau/cr-composition)\n![Python 2.7](https://img.shields.io/badge/python-2.7-blue.svg)\n[![GitHub license](https://img.shields.io/github/license/jrbourbeau/cr-composition.svg)](https://github.com/jrbourbeau/cr-composition/blob/master/LICENSE)\n\n\n*NOTE*: This analysis is still under active development\n\nThis repository contains the analysis code used to study the cosmic-ray\ncomposition spectrum using data collected by the IceCube South Pole Neutrino\nObservatory.\n\n\n## Repository layout\n\nThe layout of this repository is:\n\n```\n├── LICENSE\n├── Makefile           \u003c- Makefile with commands like `make processing` or `make plots`\n├── README.md          \u003c- Top-level README for developers using this project.\n├── config.yml         \u003c- Filesystem path configuration file\n│\n├── models             \u003c- Scripts for fitting and saving models\n│\n├── notebooks          \u003c- Jupyter notebooks used for exploratory analysis\n│\n├── requirements.txt   \u003c- The requirements file for reproducing the analysis environment, e.g.\n│                         generated with `pip freeze \u003e requirements.txt`\n│\n├── comptools          \u003c- Python package containing analysis-related code\n│\n├── processing         \u003c- Scripts for processing simulation and data\n│\n└── plotting           \u003c- Scripts for making plots\n```\n\nWhile not generated with, this layout for this project was inspired by the\n[Cookiecutter Data Science project](https://github.com/drivendata/cookiecutter-data-science).\n\n\n## Installation\n\nSee the [installation and setup](https://jrbourbeau.github.io/cr-composition/setup.html)\nsection of the documentation.\n\n## Analysis steps\n\nThe workflow for this analysis is managed using GNU `make`. Various commands\nare stored in `Makefile` and can be executed using the syntax\n`make \u003ccommand\u003e`. The available commands in `Makefile` are shown below\n\n| Name        | Command           | Description  |\n|:-------------:|:-------------:| :-----|\n| `processing-cluster`      | `make processing-cluster` | Submits data and simulation processing cluster jobs |\n| `processing`      | `make processing` | Runs all other necessary processing (e.g. calculates efficiencies, fits ML models, etc.) |\n| `models`      | `make models` | Saves machine learning models |\n| `livetime`      | `make livetime` | Calculates and saves detector livetimes |\n| `efficiencies`      | `make efficiencies` | Calculates and saves detection efficiencies |\n| `plots`      | `make plots` | Makes all analysis plots |\n\n*Note*: a `-s` option can be added to `make` to run commands in silent mode (i.e. doesn't print the commands as they are executed).\n\nTo reproduce this analysis run:\n\n```bash\nmake processing-cluster\n# Wait for cluster jobs to finish\nmake processing\nmake plots\n```\n\n\n## License\n\n[MIT License](LICENSE)\n\nCopyright (c) 2016-2018 James Bourbeau\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjrbourbeau%2Fcr-composition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjrbourbeau%2Fcr-composition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjrbourbeau%2Fcr-composition/lists"}