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Table 1.

Markov Chain Monte Carlo input parameters for the SPM.

Parameter Description Prior Distribution Bounds (B) Units
τrise Rise Time N ( max ( 1.0 , t peak t exp 2.0 ) , σ B τ rise ) $ \mathcal{N}\left(\max\left(1.0, \frac{t_{\mathrm{peak}} - t_{\mathrm{exp}}}{2.0}\right), \sigma_{B_{\tau_{\mathrm{rise}}}}\right) $ [1, 70] days
τfall Decline Time 𝒩(40, σBτfall) [1, 100] days
t0 Start Time 𝒩(min(30,max(−10,tpeaktexp)),σBt0) [–10, 30] MJD
A Amplitude 𝒩(max(f),σBA) [max(Flux)/10, 2 ⋅ max(f)]
β Plateau Slope 𝒩(0.5, σBβ) [0, 1] flux/day
γ ≡ t1 − t0 Plateau Duration N ( min ( 100 , max ( 1 , t peak t exp 2.0 ) ) , σ B γ ) $ \mathcal{N}\left(\min\left(100, \max\left(1, \frac{t_{\mathrm{peak}} - t_{\mathrm{exp}}}{2.0}\right)\right), \sigma_{B_{\gamma}}\right) $ [1, 100] days

Notes. Parameter descriptions, prior distributions, bounds, and units. Priors are defined with standard deviations (σB) based on parameter bounds.

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