Gradient flow and the EMT on the lattice
鈴木 博 Hiroshi Suzuki
九州大学 Kyushu University
2019/04/18 @ FLQCD2019
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 1 / 42
Gradient flow and the EMT on the lattice Hiroshi Suzuki Kyushu - - PowerPoint PPT Presentation
Gradient flow and the EMT on the lattice Hiroshi Suzuki Kyushu University 2019/04/18 @ FLQCD2019 Hiroshi Suzuki ( ) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 1 / 42 References Theory
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 1 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 2 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 3 / 42
0∂x,µSWilson[V],
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 4 / 42
0µ−2εZ −1,
µ = Z −1/2Z −1/2 3
µ.
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 5 / 42
t
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 6 / 42
j
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 7 / 42
j
t→0
j
ij (t)
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 8 / 42
a→0
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 9 / 42
D
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 10 / 42
7
i=1
ρ
µρ(x)F a νρ(x),
ρ,σ
ρσ(x)F a ρσ(x),
ρ
µρ(x)F a µρ(x),
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 11 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 12 / 42
ρ
µρ(x)F a νρ(x),
ρ,σ
ρσ(x)F a ρσ(x),
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 13 / 42
µρ(t, x)Ga νρ(t, x),
ρσ(t, x)Ga ρσ(t, x),
j
t→0
j
ij (t)
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 14 / 42
χ
χ
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 15 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 16 / 42
t→0
3 CA − 4 3TF and L(µ, t) = ln(2µ2t) + γE. We set µ ∝ 1/
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 17 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 18 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 19 / 42
0.5 1 1.5 2 2.5 3
4
0.1 0.2 0.3 0.4 0.5 1 2 3 4 5
4
beta=6.20 Nτ=6 beta=6.40 Nτ=8 beta=6.56 Nτ=10
smeared 2a > sqrt(8t) for Nτ =10 for Nτ =8 for Nτ =6
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 20 / 42
0.5 1 1.5 2 2.5 3
4
1 1.5 2
1 2 3 4 5 6
4
Borsanyi et al. Okamoto et al. Boyd et al.
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 21 / 42
0.000 0.005 0.010 0.015 0.020 0.025 0.030 0.035
4.8 4.9 5.0 5.1 5.2 5.3 5.4
continuum Range-1 Range-2 Range-3 643 × 12 963 × 16 1283 × 20 0.000 0.005 0.010 0.015 0.020 0.025 0.030 0.035
1.05 1.10 1.15 1.20 1.25 1.30 1.35
continuum Range-1 Range-2 Range-3 643 × 12 963 × 16 1283 × 20
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 22 / 42
0.5 1.0 1.5 2.0 2.5
1 2 3 4 5 6 7
FlowQCD Ref.[1] Ref.[4]
0.5 1.0 1.5 2.0 2.5
0.0 0.5 1.0 1.5 2.0 2.5 3.0
FlowQCD Ref.[1] Ref.[4]
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 23 / 42
0.000 0.005 0.010 0.015 0.020 0.025 0.030
4.8 5.0 5.2 5.4 5.6
643 × 12 963 × 16 1283 × 20 Range-1 Range-2 Range-3 0.000 0.005 0.010 0.015 0.020 0.025 0.030
4.8 5.0 5.2 5.4 5.6
643 × 12 963 × 16 1283 × 20 Range-1 Range-2 Range-3
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 24 / 42
0.000 0.005 0.010 0.015 0.020 0.025 0.030
1.0 1.1 1.2 1.3 1.4
643 × 12 963 × 16 1283 × 20 Range-1 Range-2 Range-3 0.000 0.005 0.010 0.015 0.020 0.025 0.030
1.0 1.1 1.2 1.3 1.4
643 × 12 963 × 16 1283 × 20 Range-1 Range-2 Range-3
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 25 / 42
1.0 1.5 2.0 2.5
T/Tc
1 2 3 4 5 6
( + p)/T4
Boyd et al. Borsanyi et al. Giusti-Pepe Caselle et al. FlowQCD 2016 NLO (this work) N2LO (this work)
1.0 1.5 2.0 2.5
T/Tc
4.5 5.0 5.5 6.0 6.5
( + p)/T4
Boyd et al. Borsanyi et al. Giusti-Pepe Caselle et al. FlowQCD 2016 NLO (this work) N2LO (this work)
1.0 1.5 2.0 2.5
T/Tc
0.0 0.5 1.0 1.5 2.0 2.5
( 3p)/T4
Boyd et al. Borsanyi et al. Giusti-Pepe Caselle et al. FlowQCD 2016 N2LO (this work) N3LO (this work)
1.0 1.2 1.4 1.6 1.8 2.0
T/Tc
1.00 1.25 1.50 1.75 2.00 2.25 2.50 2.75
( 3p)/T4
Boyd et al. Borsanyi et al. Giusti-Pepe Caselle et al. FlowQCD 2016 N2LO (this work) N3LO (this work)
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 26 / 42
V
0.0 0.1 0.2 0.3 0.4 0.5 τT 10 15 20 25 30 35 C44; 44(τ)
T/Tc = 1. 68
tT 2 = 0. 0024 tT 2 = 0. 0035 tT 2 = 0. 0052 tT 2 = 0. 0069
0.0 0.1 0.2 0.3 0.4 0.5 τT 15 10 5 5 10 −C44; 11(τ)
T/Tc = 1. 68
s/T 3 tT 2 = 0. 0024 tT 2 = 0. 0035 tT 2 = 0. 0052 tT 2 = 0. 0069
3 5 7 0.0 0.1 0.2 0.3 0.4 0.5 τT 15 10 5 5 10 −C41; 41(τ)
T/Tc = 1. 68
s/T 3 tT 2 = 0. 0024 tT 2 = 0. 0035 tT 2 = 0. 0052
3 5 7
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 27 / 42
Q = lim T→∞
j
j
0.4 0.2 0.0 0.2 0.4
0.3 0.2 0.1 0.0 0.1 0.2 0.3
λk < 0 λk > 0 (a) SU(3) Yang-Mills 0.4 0.2 0.0 0.2 0.4
0.3 0.2 0.1 0.0 0.1 0.2 0.3
λk < 0 λk > 0 (b) Maxwell
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 28 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 29 / 42
5 10 15 20 25 30 35 0.5 1 1.5 2 (e+p)/T4 t/a2 T=232 MeV (Nt=12) linear fit nonlinear fit linear+log fit
5 10 15 20 0.5 1 1.5 2 (e-3p)/T4 t/a2 T=232 MeV (Nt=12) linear fit nonlinear fit linear+log fit
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 30 / 42
5 10 15 20 25 30 100 200 300 400 500 600 (e+p)/T4 T (MeV) gradient flow T-integration
2 4 6 8 10 12 100 200 300 400 500 600 (e-3p)/T4 T (MeV) gradient flow T-integration
t ) error.
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 31 / 42
5 10 15 20 25 30 35 0.2 0.4 0.6 0.8 1 1.2 1.4 (e+p)/T4 t/a2 T=203 MeV (Nt=10) linear fit non-linear fit linear+log fit
10 20 30 40 50 0.2 0.4 0.6 0.8 1 1.2 1.4 (e-3p)/T4 t/a2 T=203 MeV (Nt=10) linear fit non-linear fit linear+log fit
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 32 / 42
5 10 15 20 25 30 35 50 100 150 200 250 300 350 400 450 (e+p)/T4 T [MeV] b=2.05 b=1.9 linear fit b=1.9 non-linear fit
5 10 15 50 100 150 200 250 300 350 400 450 (e-3p)/T4 T [MeV] b=2.05 b=1.9 linear fit b=1.9 non-linear fit
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 33 / 42
5 10 15 20 25 30 35 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 (e+p)/T4 t/a2 T=183 MeV (Nt=12) linear fit non-linear fit linear+log fit
10 20 30 40 50 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 (e-3p)/T4 t/a2 T=183 MeV (Nt=12) linear fit non-linear fit linear+log fit
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 34 / 42
5 10 15 20 25 30 35 100 200 300 400 500 600 (e+p)/T4 T (MeV) linear fit
5 10 15 20 25 30 35 40 100 200 300 400 500 600 (e-3p)/T4 T (MeV) linear fit
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 35 / 42
V
50 100 2 4 6 8 10 C00;00 time flow time=0.5 flow time=1.0 flow time=1.5 flow time=2.0
20 40 60 2 4 6 8 10 C20;20 time flow time=0.5 flow time=1.0 flow time=1.5 flow time=2.0
20 40 2 4 6 8 10 C00;22 time flow time=0.5 flow time=1.0 flow time=1.5 flow time=2.0
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 36 / 42
0.05 0.1 0.15 0.2 100 200 300 400 500 600 chiral condensate T (MeV) u quark s quark u quark s quark 5e-06 1e-05 1.5e-05 2e-05 2.5e-05 3e-05 3.5e-05 100 200 300 400 500 600 chiral susceptibility T (MeV) u quark s quark
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 37 / 42
100 200 300 400 500 600 subtracted chiral condensate T (MeV) u quark
100 200 300 400 500 600 subtracted chiral condensate T (MeV) s quark
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 38 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 39 / 42
τ→∞ enxhτ ⟨ϕ(eτx1) . . . ϕ(eτxn)⟩m2,λ ,
cr(λ) + gEe−yEτ.
cr(λ) is the critical line).
cr(λ) = 0.
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 40 / 42
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 41 / 42
α ⟨j5α(x)Tµν(y)Tρσ(z)⟩
p,q
鈴木 博 Hiroshi Suzuki (九州大学) Gradient flow and the. . . 2019/04/18 @ FLQCD2019 42 / 42