Open Access

Table 3.

Priors used for fitting distributions in redshift and luminosity bins.

Model Morphological parameter Priors
Normal c500, c80 − 800 μ ∼ 𝒰(−2.2, 0.2), log σ ∼ 𝒰(−1.3, 2.0)
ns, 0 μ ∼ 𝒰(−0.8, 2.8), log σ ∼ 𝒰(−1.3, 2.0)
n50 μ ∼ 𝒰(−7.7, 0.7), log σ ∼ 𝒰(−1.3, 2.0)
α, α50 μ ∼ 𝒰(−4.6, 2.6), log σ ∼ 𝒰(−1.3, 2.0)
ϵ, H, M1-M4 μ ∼ 𝒰(−0.1, 1.1), log σ ∼ 𝒰(−1.3, 2.0)

Skew All Same as Normal model, but with additional parameter skew K ∼ 𝒩(0, 10)

2× Normal All Two components with normal model priors, plus additional fraction f ∼ 𝒰(0, 1)

Interpolated c500, c80 − 800 Eight points between −2 and 0, with normalisation Ni ∼ 𝒩(0, 4) on each
ns, 0 Eight points between 0 and 2, with normalisation Ni ∼ 𝒩(0, 4) on each
n50 Eight points between −4 and −1.5, with normalisation Ni ∼ 𝒩(0, 4) on each
α, α50 Eight points between −1 and 2, with normalisation Ni ∼ 𝒩(0, 4) on each
ϵ, H, M1 − M4 Six points between 0 and 1, with normalisation Ni ∼ 𝒩(0, 4) on each

Notes. A normal distribution with mean μ and width σ is given as 𝒩(μ, σ). A uniform distribution between a and b is given as 𝒰(a, b). The interpolated model points are separated uniformly in the range specified, with the endpoints at the extreme values.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.