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Table 1

Characteristics of the fit performed by each fitting group.

Fitter Method Star Iden. Param. Add. Orders Window Error
category per order parameters size

Appourchaux, IAS MLE Globala simple/mixed-mode 1 5 5  ≤ 20  ≤ 20Δν Hessian
Howe, NSO MLE Globalb simple/mixed-mode 1 5 5  ≤ 15  ≤ 15Δν Hessian
Salabert, A2Z MLE Globala simple/mixed-mode 1 5 5  ≤ 15  ≤ 15Δν Hessian
Chaplin, BIR MLE Pseudo-globalc simple/mixed-mode 1 5 4  ≤ 20 Δν,  ≤ 20Δν Hessian
Deheuvels, YAL MLE Globala simple/mixed-mode 1 5 6  ≤ 16  ≤ 16Δν Hessian
Antia, TAT MLE Locald simple/mixed-mode 1 12 None  ≤ 15 Δν Hessian
Verner, QML MLE Globala simple/mixed-mode 1 5 5  ≤ 14  ≤ 14Δν Hessian
Benomar, SYD MCMCe F-like 2 5 10  >10  >10Δν Credible
Gruberbauer, MAR Nested samplingf F-like 2 5 5  ≤15  ≤15Δν Credible
Handberg, AAU MCMCg F-like 2 5 5  >10  >10Δν Credible

Notes. The first column provides the fitter identification; the fitter in italics indicates whether it was a final fitter. The second column provides methods used by the fitters. The third column provides the category of stars fitted; the category in italic indicates which stars were finally fitted. The fourth column provides the number of identifications used. The fifth column provides the number of parameters used per order. The sixth column provides the number of additional parameters common to the modes and the background. The seventh column provides the number of fitted orders. The eighth column provides the range over which the fit is performed. The last column provides how the error bars are computed. MLE stands for maximum likelihood estimators. MCMC stands for Monte Carlo Markov chain.

(b)

derived from Howe & Hill (1998);

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