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        "author": "Loris Ercole, Riccardo Bertossa",
        "author_email": "loris.ercole@epfl.ch",
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            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "# thermocepstrum\nCode to compute thermal conductivity through cepstral analysis of heat flux time series, as described in papers:\n - Ercole, Marcolongo, Baroni, Sci. Rep. 7, 15835 (2017), https://doi.org/10.1038/s41598-017-15843-2\n - for the multi-component analysis:  Baroni, Bertossa, Ercole, Grasselli, Marcolongo, https://arxiv.org/abs/1802.08006\n\n**Acknowledgement**  The development of this software is part of the scientific program of the EU MaX Centre of Excellence for Supercomputing Applications (Grant No. 676598) and has been partly funded through it.\n\n### Usage\nThe code can be used as a **library**, for example in a Jupyter notebook. \nIn the `examples` folder you can find some examples. \n\nAlternatively, you can run the code `analysis.py` from the **command line**.\nIt can execute most of the cepstral analysis routines, returning the results in a series of data files and PDF plots.\nSee the `examples` folder and the help (`python analysis.py --help`) for more information.\n\n### Requirements\n - Python 2.7\n - Numpy\n - Scipy\n - Matplotlib\n\n### Installation\n  1. Clone this repository `git clone https://github.com/lorisercole/thermocepstrum.git`\n  2. Install the package with pip (dependencies will be automatically downloaded). For example:\n```\ncd thermocepstrum\npip install .\n```\n  3. You are done! You can check that the installation is working by trying to run the command `thermocepstrum-analysis`.\n\n\n",
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        "keywords": "cepstral data analysis thermal conductivity transport coefficients physics green-kubo",
        "license": "GPL 3",
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        "name": "thermocepstrum",
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