13  blinded continuum

the different bounding are:

• Above

  1. c(t>t_c)< c(t_c) e^{-E_{2\pi} (t-t_c)}

  2. c(t>t_c)< c(t_c) e^{-M_{eff} (t-t_c)} where M_{eff} is the plateau value of m_{eff}(t) of the correlator VKVK.

• below

  1. c(t>t_c) > 0

  2. c(t>t_c)< c(t_c) e^{-m_{eff}(t_m) (t-t_c)}, where t_m=t_c for t_c<t_e while t_m=t_e for t_c\geq t_e and t_e is some time slice

14 c(t)>0 bound: above 1) and below 1) (BMW)

3 params fit

\chi^2/dof= 2.21413

P	value
P[0]	6.81(13)e-8
P[1]	4.1(2.5)e-7
P[2]	-4.8(2.5)e-7

5 params fit

\chi^2/dof= 6.36685

P	value
P[0]	6.49(61)e-8
P[1]	1.7(2.5)e-6
P[2]	8(26)e-7
P[3]	-0.00013(25)
P[4]	-0.00013(26)

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15 m_{eff}(t) bound: above 1) and below 2) (Tov or RBC/UKQCD)

\chi^2/dof= 0.95125

P	value
P[0]	6.76(14)e-8
P[1]	5.6(2.5)e-7
P[2]	-3.8(2.5)e-7

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16 M_{eff} bound: above 2) and below 2)

\chi^2/dof= 2.61907

P	value
P[0]	6.814(88)e-8
P[1]	3.7(1.7)e-7
P[2]	-4.1(1.7)e-7

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16.1 All data from different bounds

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16.2 fitting (OS+TM)/2

P[0] is the value of the continuum limit, fit function: P[0]+P[1]a^2

amu_ave_bound_a2 \chi^2/dof= 0.0459455

P	value
P[0]	6.83(13)e-8
P[1]	-5(24)e-8

amu_ave_bound_meff_t_a2 \chi^2/dof= 0.0196622

P	value
P[0]	6.84(13)e-8
P[1]	-2(24)e-8

amu_ave_bound_meff_a2 \chi^2/dof= 0.239496

P	value
P[0]	6.739(97)e-8
P[1]	1.5(1.9)e-7

click on the legend to remove a data set

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16.3 tree level lattice artefact subtraction

3 params fit

\chi^2/dof= 2.42218

P	value
P[0]	6.82(13)e-8
P[1]	3.0(2.5)e-7
P[2]	-6.3(2.5)e-7

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