Dataset for "Light Scalar Meson and Decay Constant in SU(3) Gauge Theory with Eight Dynamical Flavors" (Q6693944)
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Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Dataset for "Light Scalar Meson and Decay Constant in SU(3) Gauge Theory with Eight Dynamical Flavors" |
Dataset published at Zenodo repository. |
Statements
Decoding File Names: 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 24348 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. Columns of the CSV files: 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. nmax: the number of non-oscillating states in the fit. jmax: the number of oscillating states in the fit. tmin: the minimum t value used in the fit. tmax: the maximum t value used in the fit. 𝜒2 of the fit. \(\log\ p\left(\left.M\right|D\right)\): log of model probability used in Bayesian model averaging. fit value for c0 (model A) or \(\overline{c}_0\) (model B). fit error for c0 (model A) or \(\overline{c}_0\) (model B). fit value for c1. fit error for c1. fit value for c2. fit error for c2. fit value for c3. fit error for c3. fit value for c4. fit error for c4. 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 \(\log(E_1^\prime)\).
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9 June 2023
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1.0.0
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