Table B.2
Compilation of the priors used for the fit parameters of the various models.
| f (constant, exponent, νmax) = constant + log10(νmax)exponent | ||||
|---|---|---|---|---|
| Model specific fit parameters | Model D | Model J | Model H | Model T |
| a | lognormal μ=1.2f(ac, ae, νmax) σ = 0.1 |
lognormal μ=f(ac=3.555, ae=-1.006, νmax) σ = 0.15 |
lognormal μ=f(ac, ae, νmax) σ = 0.1 |
lognormal μ=f(ac, ae, νmax) σ = 0.1 |
| b | lognormal μ=f(bc, be, νmax) σ = 0.3 |
lognormal μ=f(bc, be, νmax) σ = 0.1 |
lognormal μ=f(bc, be, νmax) σ = 0.1 |
lognormal μ=f(bc, be, νmax) σ = 0.1 |
| c | - | - | lognormal μ=f(cc, ce, νmax) σ = 0.1 |
lognormal μ=f(cc, ce, νmax) σ = 0.1 |
| d | - | lognormal μ=f(dc, de, νmax) σ = 0.1 |
lognormal μ=f(dc, de, νmax) σ = 0.1 |
lognormal μ=f(dc, de, νmax) σ = 0.1 |
| e | - | - | - | lognormal σ = 0.5 |
| f | - | - | - | lognormal μ=2.2f(dc, de, νmax) σ = 0.5 |
| l | normal μ=2 σ = 1 |
normal μ=5/3 σ = 1 |
normal μ=4 σ = 1 |
normal μ=4 σ = 1 |
| k | - | normal μ=17/3 σ = 1 |
normal μ=4 σ = 1 |
normal μ=4 σ = 1 |
| m | - | - | - | normal μ=6 σ = 2 |
| General priors | ||||
| W | beta | West=median(Power[-100:]) loc=0.1West, scale=10West-loc |
a=1.5 b=4 |
|
| Posc | lognormal | μ=log10(1e-9) | σ = 0.001 | |
| σosc | lognormal | μ=log10(10) | σ = 0.001 | |
| a2 | lognormal | μ=log10(1e-9) | σ = 0.001 | |
| b2 | lognormal | μ=log10(10) | σ = 0.001 | |
| Variations for KIC 8006161 and the Sun | ||||
| Posc | lognormal | μ=log10(0.2·Power(∼ νmax)) | σ =0.1 | |
| σosc | lognormal | μ=log10(2(0.26νmax0.772))* | σ =0.2 | |
| a2 | lognormal | Pest = median(Power[:10]) |
σ =0.2 | |
| b2 | lognormal | μ=log10(Frequency[10])) | σ =0.2 | |
Notes. Amplitudes and characteristic frequencies are set according to a power law, as shown at the top of the table. The coefficients for the power law can be found in Table B.1 if not directly specified.
* Recommendation for oscillation excess width from Sreenivas et al. (2024) based on an approximation of ∆ν (Stello et al. 2009; Hekker et al. 2009; Huber et al. 2011).
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