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\begin{document}
  
  
    \begin{tabular}{l c}
      \hline
      Source                          & $\delta \mathcal{K}(\Lambda\xspace^+_ c\xspace\xspace\xspace) /
                                        \mathcal{K}(\Lambda\xspace^+_ c\xspace\xspace\xspace) [\%]$ \\
      \hline
      Simulated sample size     & \hphantom{0}3.8 \\ %
      Fit bias                            & \hphantom{0}3.9 \\
      Signal  modelling               &  \hphantom{0}2.0 \\ %
       $\Lambda\xspace^0_ b\xspace\xspace$ \xspace $\rightarrow$ \xspace$\Lambda\xspace^{*+}_ c\xspace\xspace\xspace\tau\xspace^-\xspace\overline{\nu}_{\tau}$ feeddown & \hphantom{0}2.5 \\ %
      $D_s^- \rightarrow\xspace 3\pi Y$ decay model         & \hphantom{0}2.5 \\
      $\Lambda\xspace^0_ b\xspace\xspace\xspace\rightarrow\xspace  \Lambda\xspace^+_ c\xspace\xspace\xspace D_s^- X$, $\Lambda\xspace^0_ b\xspace\xspace\xspace\rightarrow\xspace \Lambda\xspace^+_ c\xspace\xspace\xspace D^- X$, $\Lambda\xspace^0_ b\xspace\xspace\xspace\rightarrow\xspace\Lambda\xspace^+_ c\xspace\xspace\xspace \kern 0.2em\overline{\kern -0.2em  D\xspace}{}\xspace{}^0\xspace X$ background & \hphantom{0}4.7 \\ %
      Combinatorial background              & \hphantom{0}0.5 \\
      Particle identification and trigger corrections&\hphantom{0}1.5\\
      Isolation BDT classifier and vertex selection requirements&\hphantom{0}4.5\\
       $ D\xspace\xspace^-_ s\xspace\xspace$ \xspace,  $ D\xspace\xspace^-$ \xspace,  $\kern 0.2em\overline{\kern -0.2em  D\xspace}{}\xspace{}^0$ \xspace template shapes &13.0\\
      Efficiency ratio                  & \hphantom{0}2.8\\\hline
 normalization channel efficiency (modelling of $\Lambda\xspace^0_ b\xspace\xspace\xspace\rightarrow\xspace\Lambda\xspace^+_ c\xspace\xspace\xspace 3\pi$) &\hphantom{0}3.0 \\ 
        \hline
      Total uncertainty                  & $16.5$ \\
      \hline
    \end{tabular}
\end{document}
