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        "description": "# NPAT\n\nNPAT (nuclear physics analysis tools) is a python toolkit developed to aid in the analysis of experimental nuclear data.\n\nThe primary application for NPAT is activation analysis, with specific utilities developed for stacked-target, charged-particle activation analysis.\nHowever, the convenient python interface to nuclear decay data and a range of cross section libraries makes NPAT more generally useful in the nuclear sciences.\n\n## Features\n\nNPAT features the following classes to aid in data analysis:\n\n* Spectrum - Peak fitting for HPGe detector data.\n* Calibration - Energy & efficiency calibration tool (for HPGe detectors).\n* Ziegler - Stacked-target energy loss characterization.\n* DecayChain - General purpose Bateman equation solver.\n* Isotope - Isotopic and decay data.\n* Reaction - Cross sections from multiple libraries.\n* Library - Tool for searching and retrieving cross sections from multiple libraries.\n\nMore detail can be found in the [User's Guide](https://jtmorrell.github.io/npat/build/html/usersguide/index.html) and the [API](https://jtmorrell.github.io/npat/build/html/api/index.html).\n\n## Quick Install\n\nNPAT is available through the [Python Package index](https://pypi.org/), which allows installation using Python's standard command line utility [pip](https://pip.pypa.io/en/stable).  Assuming Python and Pip are installed already, you can install NPAT with the command:\n\n```\npip install --user npat\n```\n\nor:\n\n```\npython -m pip install --user npat\n```\n\nDetailed installation instructions and troubleshooting can be found in the NPAT [documentation](https://jtmorrell.github.io/npat/build/html/quickinstall.html).",
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