OTHER LIGHT QUARK MASS RATIOS

$\mathit Q$ MASS RATIO

INSPIRE   JSON  (beta) PDGID:
Q123MR3
$\mathit Q{}\equiv\sqrt {({{\mathit m}^{2}}_{{{\mathit s}}}−{{\overline{\mathit m}}}{}^{2})/({{\mathit m}^{2}}_{{{\mathit d}}}−{{\mathit m}^{2}}_{{{\mathit u}}}) }$; ${{\overline{\mathit m}}}{}\equiv$ (${\mathit m}_{{{\mathit u}}}$ $+$ ${\mathit m}_{{{\mathit d}}})/$2
VALUE DOCUMENT ID TECN
• • We do not use the following data for averages, fits, limits, etc. • •
$22.1$ $\pm0.7$ 1
COLANGELO
2018
THEO
$22.0$ $\pm0.7$ 2
COLANGELO
2017
THEO
$21.6$ $\pm1.1$ 3
GUO
2017
THEO
$23.4$ $\pm0.4$ $\pm0.5$ 4
FODOR
2016
LATT
$21.4$ $\pm0.4$ 5
GUO
2015F
 THEO
$22.8$ $\pm0.4$ 6
MARTEMYANOV
2005
THEO
$22.7$ $\pm0.8$ 7
ANISOVICH
1996
THEO
1  COLANGELO 2018 obtain ${{\mathit Q}}$ from a dispersive analysis of ${{\mathit \eta}}$ $\rightarrow$ 3 ${{\mathit \pi}}$ decay.
2  COLANGELO 2017 obtain ${{\mathit Q}}$ from a dispersive analysis of KLOE collaboration data on ${{\mathit \eta}}$ $\rightarrow$ ${{\mathit \pi}^{+}}{{\mathit \pi}^{-}}{{\mathit \pi}^{0}}$ decays and chiral perturbation theory input.
3  GUO 2017 determine ${{\mathit Q}}$ from a dispersive model fit to KLOE and WASA-at-COSY data on ${{\mathit \eta}}$ $\rightarrow$ ${{\mathit \pi}^{+}}{{\mathit \pi}^{-}}{{\mathit \pi}^{0}}$ decay and matching to chiral perturbation theory.
4  FODOR 2016 is a lattice simulation with ${{\mathit n}_{{{f}}}}$ = 2 + 1 dynamical flavors and includes partially quenched QED effects.
5  GUO 2015F determine ${{\mathit Q}}$ from a Khuri-Treiman analysis of ${{\mathit \eta}}$ $\rightarrow$ 3 ${{\mathit \pi}}$ decays.
6  MARTEMYANOV 2005 determine $\mathit Q$ from ${{\mathit \eta}}$ $\rightarrow$ 3 ${{\mathit \pi}}$ decay.
7  ANISOVICH 1996 find $\mathit Q$ from ${{\mathit \eta}}$ $\rightarrow$ ${{\mathit \pi}^{+}}{{\mathit \pi}^{-}}{{\mathit \pi}^{0}}$ decay using dispersion relations and chiral perturbation theory.
References