Dataset for "Light Scalar Meson and Decay Constant in SU(3) Gauge Theory with Eight Dynamical Flavors"
收藏资源简介：
<strong>Decoding File Names</strong>: Consider the file name f8l24t48b48m00889_S0.csv. We will break down the meaning of the various pieces of the filename "f8" means 8 Dirac flavors. "l24t48" means 24<sup>3</sup>×48 lattice. "b48" means beta=4.8, related to the inverse bare gauge coupling. "m00889" means fermion mass m=0.00889. "S" means flavor-singlet scalar meson. Other options are "P" for flavor non-singlet pseudoscalar meson and "C" for flavor non-singlet scalar meson. "0" an integer from 0 to 4 proportional to the squared length of the spatial momentum vector of the correlation function. <strong>Columns of the CSV files</strong>: Each line of the CSV file should contain 41 entries, separated by commas. Refer to the Eq. (8) which defines model A in the accompanying paper to understand the physical interpretation of these parameters. Model number: 1 is model A, 2 is model B, 3 is model C. n<sub>max</sub>: the number of non-oscillating states in the fit. j<sub>max</sub>: the number of oscillating states in the fit. t<sub>min</sub>: the minimum t value used in the fit. t<sub>max</sub>: the maximum t value used in the fit. 𝜒<sup>2</sup> of the fit. \(\log\ p\left(\left.M\right|D\right)\): log of model probability used in Bayesian model averaging. fit value for c<sub>0</sub> (model A) or \(\overline{c}_0\) (model B). fit error for c<sub>0</sub> (model A) or \(\overline{c}_0\) (model B). fit value for c<sub>1</sub>. fit error for c<sub>1</sub>. fit value for c<sub>2</sub>. fit error for c<sub>2</sub>. fit value for c<sub>3</sub>. fit error for c<sub>3</sub>. fit value for c<sub>4</sub>. fit error for c<sub>4</sub>. fit value for \(c_1^\prime\). fit error for \(c_1^\prime\) fit value for \(c_2^\prime\). fit error for \(c_2^\prime\). fit value for \(c_3^\prime\). fit error for \(c_3^\prime\). fit value for \(c_4^\prime\). fit error for \(c_4^\prime\). fit value for \(\log(E_2 - E_1)\). fit error for \(\log(E_2-E_1)\). fit value for \(\log(E_3-E_2)\). fit error for \(\log(E_3-E_2)\). fit value for \(\log(E_4-E_3)\). fit error for \(\log(E_4-E_3)\). fit value for \(\log(E_2^\prime - E_1^\prime)\). fit error for \(\log(E_2^\prime - E_1^\prime)\). fit value for \(\log(E_3^\prime - E_2^\prime)\). fit error for \(\log(E_3^\prime - E_2^\prime)\). fit value for \(\log(E_4^\prime - E_3^\prime)\). fit error for \(\log(E_4^\prime - E_3^\prime)\). fit value for \(\log(E_1)\). fit error for \(\log(E_1)\). fit value for \(\log(E_1^\prime)\). fit error for \(\log(E_1^\prime)\).
