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Table 2.

Grid of input parameters used in CIGALE for the best-fit model computation.

Parameters Values
Star-formation history Delayed + burst + quenching(i)
[[sfhdelayedbq]]

τmain, e-folding time [Myr] 1000, 3000, 5000, 10 000
tgal, galaxy age [Myr] 4500, 7000, 9500, 12 000
tbq, quenching or bursting age [Myr] 10, 20, 30, 100
rSFR, ratio of the SFR after/before quenching or bursting age 1.0, 3.16, 10.0, 20.0, 100.0, 1000.0, 1200.0

Stellar population model Bruzual & Charlot(ii)
[[bc03]]

Initial mass function Salpeter(iii)
Metallicity 0.02

Dust attenuation Modified Calzetti(iv)
[[dustatt_calzleit]]

E(B − V), colour excess of the young stellar population 0.20, 0.29, 0.44, 0.66, 1.0
E(B − V)old/E(B − V)young, reduction factor for E(B − V) 0.25, 0.50, 0.75
δ, power law index of the attenuation curve −0.5, −0.25, 0.0

Dust grain model THEMIS(v)
[[themis]]

qhac, fraction of small hydrocarbon solids 0.02, 0.17
Umin, minimum radiation field 5, 10, 25, 50, 80
α, power law index of the radiation field 2.0
γ, fraction illuminated from Umin to Umax 0.01

Active nucleus model Skirtor(vi)
[[skirtor2016]]

τ9.7, optical depth at 9.7  μm 3.0, 7.0
pl, torus density radial parameter 1.0
q, torus density angular parameter 1.0
oa, angle between the equatorial plan and edge of the torus [deg] 40
R, ratio of outer to inner radius 20
Mcl, fraction of total dust mass inside clumps [%] 97
i, inclination (viewing angle) [deg] 30 (type 1), 70 (type 2)
AGN fraction 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.85
Extinction law of polar dust SMC
E(B − V) of polar dust 0, 0.8
Polar dust temperature [K] 100
Polar dust emissivity index 1.6

Notes. The combination of these parameters results in 14 515 200 models per redshift bin. With nine redshift bins used, 130 636 800 models were computed in total. The parameters in the brackets indicate the exact name of each module as it is used in CIGALE.

References: (i) Ciesla et al. (2016); (ii) Bruzual & Charlot (2003); (iii) Salpeter (1955); (iv) Calzetti et al. (2000); (v) Jones et al. (2017); (vi) Stalevski et al. (2012, 2016).

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