Mapping synthetic observations to pre-stellar core models: An interpretable machine learning approach

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Table 2

Parameters employed in this work.

Var.	Rnd.	Description	Units
n_max	log	Max central density	cm⁻³
σ_υ	lin	Turbulence velocity dispersion	km s⁻¹
A_V,0	lin	A_V at domain boundary	mag
τ	lin	Collapse time factor	–
M	lin	Total mass	M_⊙
T^1e4	–	T at r = 10⁴ au and t = t_max	K
$T_{d}^{1 e 4}$ $T^{1e4}_{\rm d}$	–	Same as T^1e4 but for T_d	K
$n_{C^{18} O}^{1 e 4}$ $n_{\ce{C^18O}}^{1e4}$	–	Same as T but for n_C¹⁸O	cm⁻³
$n_{H C O^{+}}^{1 e 4}$ $n_{\ce{HCO+}}^{1e4}$	–	Same as T but for n_HCO⁺	cm⁻³
$n_{D C O^{+}}^{1 e 4}$ $n_{\ce{DCO+}}^{1e4}$	–	Same as T but for n_DCO⁺	cm⁻³
$n_{N_{2} H^{+}}^{1 e 4}$ $n_{\ce{N2H+}}^{1e4}$	–	Same as T but for n_N₂H⁺	cm⁻³
$n_{N_{2} D^{+}}^{1 e 4}$ $n_{\ce{N2D+}}^{1e4}$	–	Same as T but for n_N₂D⁺	cm⁻³
$x_{e^{-}}^{1 e 4}$ $x_{\ce{e-}}^{1e4}$	–	Same as T but for x_e⁻	–
ζ^1e4	–	Same T but for ζ	s⁻¹
a_i	–	Coefficients of Eq. (3) i ∈ [0,3]	–

Notes. Rnd. is the randomization distribution, not employed for the derived parameters. For the electrons, we employed their fraction rather than their number density.

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