$1.000000000001$ $\pm0.000000000069$ |
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|
TRAP |
• • • We do not use the following data for averages, fits, limits, etc. • • • |
$0.99999999991$ $\pm0.00000000009$ |
|
|
TRAP |
$1.0000000015$ $\pm0.0000000011$ |
1 |
|
TRAP |
$1.000000023$ $\pm0.000000042$ |
2 |
|
TRAP |
1
Equation (2) of GABRIELSE 1995 should read $\mathit M({{\overline{\mathit p}}})/\mathit M({{\mathit p}}$) = $0.999~999~995~$(11) (G.$~$Gabrielse, private communication).
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2
GABRIELSE 1990 also measures ${\mathit m}_{{{\overline{\mathit p}}}}/{\mathit m}_{{{\mathit e}^{-}}}$ = $1836.152660$ $\pm0.000083$ and ${\mathit m}_{{{\mathit p}}}/{\mathit m}_{{{\mathit e}^{-}}}$ = $1836.152680$ $\pm0.000088$. Both are completely consistent with the 1986 CODATA (COHEN 1987 ) value for ${\mathit m}_{{{\mathit p}}}/{\mathit m}_{{{\mathit e}^{-}}}$ of $1836.152701$ $\pm0.000037$.
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