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\bibitem{tensorflow2015-whitepaper}
M.~Abadi {\em et~al.}, \ifthenelse{\boolean{articletitles}}{\emph{{TensorFlow}:
  Large-scale machine learning on heterogeneous systems}, }{} 2015.
\newblock Software available from tensorflow.org\relax
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\bibitem{paszke2017automatic}
A.~Paszke {\em et~al.}, \ifthenelse{\boolean{articletitles}}{\emph{Automatic
  differentiation in pytorch}, }{}\relax
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\bibitem{hep_survey_jim}
J.~Pivarski, \ifthenelse{\boolean{articletitles}}{\emph{Non-fork repositories
  of github users who forked cmssw/aliphysics}, }{}
  \url{https://github.com/jpivarski/2019-06-10-usatlas-argonne-python/blob/master/01-why-python-in-hep.ipynb},
  2019\relax
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\bibitem{software:scipy}
T.~E. {Oliphant}, \ifthenelse{\boolean{articletitles}}{\emph{Python for
  scientific computing},
  }{}\href{https://doi.org/10.1109/MCSE.2007.58}{Computing in Science
  Engineering \textbf{9} (2007) 10}\relax
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\bibitem{software:lmfit}
M.~Newville {\em et~al.},
  \ifthenelse{\boolean{articletitles}}{\emph{lmfit/lmfit-py 0.9.13}, }{} 2019.
\newblock
  doi:~\href{https://doi.org/10.5281/zenodo.2620617}{10.5281/zenodo.2620617}\relax
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\bibitem{DBLP:journals/corr/abs-1711-10604}
J.~V. Dillon {\em et~al.},
  \ifthenelse{\boolean{articletitles}}{\emph{Tensorflow distributions}, }{}CoRR
  \textbf{abs/1711.10604} (2017)
  \href{http://arxiv.org/abs/1711.10604}{{\normalfont\ttfamily
  arXiv:1711.10604}}\relax
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\bibitem{Verkerke:2003ir}
W.~Verkerke and D.~P. Kirkby, \ifthenelse{\boolean{articletitles}}{\emph{{The
  RooFit toolkit for data modeling}}, }{}eConf \textbf{C0303241} (2003)
  MOLT007, \href{http://arxiv.org/abs/physics/0306116}{{\normalfont\ttfamily
  arXiv:physics/0306116}}, [,186(2003)]\relax
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\bibitem{software:probfit}
P.~Ongmongkolkul {\em et~al.},
  \ifthenelse{\boolean{articletitles}}{\emph{scikit-hep/probfit: 1.1.0}, }{}
  2018.
\newblock
  doi:~\href{https://doi.org/10.5281/zenodo.1477853}{10.5281/zenodo.1477853}\relax
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\bibitem{software:pyhf}
Lukas {\em et~al.}, \ifthenelse{\boolean{articletitles}}{\emph{diana-hep/pyhf
  v0.0.15}, }{} 2018.
\newblock
  doi:~\href{https://doi.org/10.5281/zenodo.1464139}{10.5281/zenodo.1464139}\relax
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\bibitem{higgsanalysis_combinedlimit}
J.~Bendavid,
  \ifthenelse{\boolean{articletitles}}{\emph{Higgsanalysis-combinedlimit}, }{}
  \url{https://github.com/bendavid/HiggsAnalysis-CombinedLimit/tree/tensorflowfit},
  2016\relax
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\bibitem{tensorflow_analysis}
A.~Poluektov, \ifthenelse{\boolean{articletitles}}{\emph{Tensorflow analysis},
  }{} \url{https://gitlab.cern.ch/poluekt/TensorFlowAnalysis/}, 2017\relax
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\bibitem{James:1975dr}
F.~James and M.~Roos, \ifthenelse{\boolean{articletitles}}{\emph{{Minuit: A
  System for Function Minimization and Analysis of the Parameter Errors and
  Correlations}},
  }{}\href{https://doi.org/10.1016/0010-4655(75)90039-9}{Comput.\ Phys.\
  Commun.\  \textbf{10} (1975) 343}\relax
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\bibitem{kingma2014adam}
D.~P. Kingma and J.~Ba, \ifthenelse{\boolean{articletitles}}{\emph{Adam: A
  method for stochastic optimization}, }{} 2014\relax
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\bibitem{Aaij:2015oid}
LHCb, R.~Aaij {\em et~al.}, \ifthenelse{\boolean{articletitles}}{\emph{{Angular
  analysis of the $B^{0} \to K^{*0} \mu^{+} \mu^{-}$ decay using 3 fb$^{-1}$ of
  integrated luminosity}},
  }{}\href{https://doi.org/10.1007/JHEP02(2016)104}{JHEP \textbf{02} (2016)
  104}, \href{http://arxiv.org/abs/1512.04442}{{\normalfont\ttfamily
  arXiv:1512.04442}}\relax
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\bibitem{Khachatryan:2038750}
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\bibitem{James:1968gu}
F.~James, \ifthenelse{\boolean{articletitles}}{\emph{{Monte-Carlo phase
  space}}, }{}\relax
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\bibitem{PhysRevLett.103.211801}
BABAR Collaboration, B.~Aubert {\em et~al.},
  \ifthenelse{\boolean{articletitles}}{\emph{Measurement of
  ${D}^{0}\mathrm{\text{\ensuremath{-}}}{\overline{d}}^{0}$ mixing from a
  time-dependent amplitude analysis of
  ${D}^{0}\ensuremath{\rightarrow}{K}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}{\ensuremath{\pi}}^{0}$
  decays}, }{}\href{https://doi.org/10.1103/PhysRevLett.103.211801}{Phys.\
  Rev.\ Lett.\  \textbf{103} (2009) 211801}\relax
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\bibitem{software:lauztat}
M.~Marinangeli, \ifthenelse{\boolean{articletitles}}{\emph{marinang/lauztat:
  v1.1.2}, }{} 2019.
\newblock
  doi:~\href{https://doi.org/10.5281/zenodo.2648147}{10.5281/zenodo.2648147}\relax
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\bibitem{software:uproot}
J.~Pivarski {\em et~al.},
  \ifthenelse{\boolean{articletitles}}{\emph{scikit-hep/uproot: 3.6.3}, }{}
  2019.
\newblock
  doi:~\href{https://doi.org/10.5281/zenodo.3239529}{10.5281/zenodo.3239529}\relax
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\bibitem{mckinney-proc-scipy-2010}
W.~McKinney, {\em Data Structures for Statistical Computing in Python},
  2010\relax
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\bibitem{software:numpy}
T.~Oliphant, \ifthenelse{\boolean{articletitles}}{\emph{{NumPy}: A guide to
  {NumPy}}, }{} USA: Trelgol Publishing, 2006--.
\newblock [Online; accessed <today>]\relax
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