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Table 4

Subregion properties to be compared to SFR statistical models.

Cloud α vir Volumea M cloud b ⟨ nH2 ⟩ cloud c t ff cloud d ⟨ nH2 ⟩ cores e t ff MDCs f SFRffg SFRffg
region [–] [pc3] [M⊙] [cm-3] [kyr] [107cm-3] [kyr] (Approach-1h) (Approach-2h)
(1) (2) (3) (4) (5) (6) (7) (8) (9)
A 0.11 ± 0.07 0.6 8570 2.39 × 105 70 4.9 1.30
B 0.22 ± 0.13 2.4 6900 4.98 × 104 150 1.7 ± 0.5 8.2 ±1.4 0.50 ± 0.22 1.00
C 0.40 ± 0.24 5.1 4900 1.66 × 104 260 0.9 ± 0.2 11.2 ± 1.2 0.18 ± 0.06 0.16
D 0.74 ± 0.45 9.9 3285 5.76 × 103 445 <0.9 >11.2 <0.09 –

Notes.

(a)

Volumes derived from assumptions explained in Sect. 4.

(b)

Mcloud is the mass derived by integrating the column density map built from Herschel images.

(c)

The volume density of the cloud is computed from Cols. 2 and 3 via ⟨ nH2 ⟩ = Mcloud/ Volume.

(d)

The freefall time of the cloud is computed from the cloud density (Col. 4) and Eq. (3).

(e)

The volume density of the MDCs is the ratio of the total mass of the cores, , to the sum of MDCs’ volume (see Table 3).

(f)

The freefall time of the MDCs is computed from the MDCs density (Col. 6) and Eq. (3).

(g)

SFRff is estimated via Eq. (2), Cols. 5 and 7, and SFE values of Table 3.

(h)

The Approach-1 (resp. Approach-2) refers to the first (resp. second) approach in estimating the SFE presented in Sect. 5.

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