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Copy file name to clipboardExpand all lines: paper/basic_training.tex
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\usepackage{siunitx}
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\DeclareSIUnit\Molar{M}
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\usepackage[italic]{mathastext}
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\newcommand{\versionnumber}{0.1} % you should update the minor version number in preprints and major version number of submissions.
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\newcommand{\versionnumber}{1.0} % you should update the minor version number in preprints and major version number of submissions.
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\newcommand{\githubrepository}{\url{https://github.com/MobleyLab/basic_simulation_training}} %this should be the main github repository for this article
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\graphicspath{{figures/}}
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Our focus here has been on the basics --- focusing on things you need to understand before beginning to prepare simulations for yourself.
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Additionally, we have primarily focused on issues relating to how simulations are conducted, and leave data analysis for a separate treatment.
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As a starting point relating to data analysis, readers should probably review the Best Practices document on sampling and uncertainty estimation (\url{https://github.com/dmzuckerman/Sampling-Uncertainty})).
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As a starting point relating to data analysis, readers should probably review the Best Practices document on sampling and uncertainty estimation (\url{https://github.com/dmzuckerman/Sampling-Uncertainty}).
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Please remember that this is an updatable work, so we welcome contributions and suggestions via our GitHub issue tracker so that we can make this a valuable resource for the field which clearly addresses the key fundamentals.
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