Luminous, rapidly declining supernovae as stripped transitional objects in low-metallicity environments: The case of SN 2022lxg

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Table 2.

Priors and marginalised posteriors for the MOSFiT csmni model.

Parameter	Prior	Posterior	Units
log(f_Ni)	[ − 4, 0]	$- 1 . 87_{- 0.15}^{+ 0.20}$ $-1.87^{+0.20}_{-0.15}$
log(κ_γ)	[ − 2, 1]	$0 . 53_{- 0.18}^{+ 0.21}$ $0.53^{+0.21}_{-0.18}$	cm² g⁻¹
v_ej	[1.7, 2.3]	$2 . 00_{- 0.05}^{+ 0.04}$ $2.00^{+0.04}_{-0.05}$	10⁴ km s⁻¹
log(M_CSM)	[ − 2, 1.5]	$- 1 . 79_{- 0.12}^{+ 0.12}$ $-1.79^{+0.12}_{-0.12}$	M_⊙
log(M_ej)	[ − 1, 1.0]	$0 . 01_{- 0.18}^{+ 0.13}$ $0.01^{+0.13}_{-0.18}$	M_⊙
log(n_H, host)	[16, 21]	$16 . 93_{- 0.59}^{+ 0.76}$ $16.93^{+0.76}_{-0.59}$	cm⁻²
log(R₀)	[ − 1, 2.4]	$0 . 14_{- 0.20}^{+ 0.14}$ $0.14^{+0.14}_{-0.20}$	AU
log(ρ₀)	[ − 15, −7]	$- 8 . 61_{- 0.16}^{+ 0.17}$ $-8.61^{+0.17}_{-0.16}$	g cm⁻³
log(T_min)	[3.7, 3.9]	$3 . 82_{- 0.01}^{+ 0.01}$ $3.82^{+0.01}_{-0.01}$	K
t_exp	[ − 1, 0]	$- 0 . 21_{- 0.03}^{+ 0.03}$ $-0.21^{+0.03}_{-0.03}$	days
log(σ)	[ − 4, 2]	$- 0 . 65_{- 0.02}^{+ 0.02}$ $-0.65^{+0.02}_{-0.02}$
κ	0.34	–	cm² g⁻¹
n	12	–
δ	0	–
s	2	–

Notes. The posterior results are the median of each distribution, and the uncertainties are the 16th and 84th percentiles (which are purely statistical). A dash in the posterior value and a single prior value denote that the parameter was fixed to that value.

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