Table 1.
Properties of the initial-guess sampling.
Parameter | Estimate | Width | Distribution |
---|---|---|---|
qas | 0.2 | 0.2 | Gaussian |
Δν | Δν0 (l = 0-fit) | 0.03 ⋅ Δν0 | Gaussian |
ΔΠ | ΔΠN (N-integral) | 0.03 ⋅ ΔΠN | Gaussian |
ϵp |
![]() |
0.7 | Uniform |
(ϵp, 0: l = 0-fit) | |||
ϵg | 0.5 | 1.2 | Uniform |
Notes. For Gaussian distributions, the width refers to the standard deviation of the Gaussian; for uniform distributions, the limits were set to estimate±width. Since q can physically only take positive values, all instances in which the Gaussian sampling returned a value < 0 were resampled with a uniform distribution over [0, 0.8].
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