Table 1: Overview of our models (see text for details).
Name ${\mathcal M}$ k $n_{\rm p}$ ^a $M_{\rm min}$ ^b $M_{\rm accr}$ ^c n_*^d n_*^e $\sigma_{\rm mean}$ ^f $\dot{M}_{\rm mean}$ [ $10^5 ~{M_{\hbox{$\odot$ }} ~\rm yr^{-1}}$ ]

[ $M_{\hbox {$\odot $ }}$ ] [%] fitted bin1 bin2 bin3 bin4

G1 - - 50 000 0.44 93.1 56 31 0.49 1.18 1.30 1.70 2.93

G2 - - 500 000 0.044 84.9 56 52 0.43 0.94 1.40 2.09 3.51

M01k2 0.1 1..2 205 379 0.058 74.9 95 91 0.43 0.77 1.76 3.04 -

M01k4 0.1 3..4 205 379 0.058 27.2 3 3 0.81 2.83 - - 57.98

M01k8 0.1 7..8 205 379 0.058 85.9 3 3 0.47 - 1.37 13.25 59.16

M05k2 0.5 1..2 205 379 0.058 37.2 23 22 0.49 1.63 5.05 4.88 12.95

M05k4 0.5 3..4 205 379 0.058 77.9 48 48 0.39 1.31 2.49 2.56 6.30

M05k8 0.5 7..8 205 379 0.058 59.5 48 48 0.40 1.34 2.22 3.79 7.77

M2k2 2 1..2 205 379 0.058 75.1 68 62 0.41 0.86 1.38 2.54 4.32

M2k4 2 3..4 205 379 0.058 47.9 62 62 0.44 1.35 1.92 2.43 3.84

M2k8 2 7..8 205 379 0.058 66.2 42 40 0.42 0.87 1.29 1.72 3.38

M3k2 3.2 1..2 205 379 0.058 79.7 65 65 0.46 1.31 1.86 2.98 3.78

M3k4 3.2 3..4 205 379 0.058 82.1 37 35 0.55 1.01 1.13 1.15 1.86

M3k8 3.2 7..8 205 379 0.058 60.2 17 17 0.41 0.51 1.09 1.74 5.84

M6k2a 6 1..2 205 379 0.058 85.4 100 97 0.49 0.79 1.69 1.96 3.39

M6k4a 6 3..4 205 379 0.058 62.4 98 93 0.44 0.38 0.83 0.89 1.10

M6k2b 6 1..2 195 112 0.062 34.5 50 50 0.42 1.02 1.81 2.50 -

M6k4b 6 3..4 50 653 0.24 29.7 50 47 0.43 0.72 1.66 1.87 -

M6k8b 6 7..8 50 653 0.24 35.7 25 25 0.44 0.35 0.61 1.38 2.47

M6k2c 6 1..2 205 379 0.058 75.8 110 97 0.43 0.83 1.32 1.50 1.23

M6k4c 6 3..4 205 379 0.058 61.9 53 46 0.54 1.31 1.46 2.05 1.97

M6k8c 6 7..8 205 379 0.058 6.4 12 10 0.43 0.50 0.62 0.58 -

M10k2 10 1..2 205 379 0.058 56.5 150 146 0.44 1.08 2.62 2.09 -

M10k8 10 7..8 205 379 0.058 32.4 54 44 0.53 0.26 0.64 - -

^a Number of particles in the simulation;
^b SPH resolution limit;
^c fraction of the total mass that has been accreted by the end of the simulation;
^d total number of formed protostars;
^e number of protostars that can be fitted by Eq. (5);
^f mean deviation of the fits, calculated from Eq. (6).

**Table 1:** Overview of our models (see text for details).
Name	${\mathcal M}$	k	$n_{\rm p}$ ^a	$M_{\rm min}$ ^b	$M_{\rm accr}$ ^c	n_*^d	n_*^e	$\sigma_{\rm mean}$ ^f	$\dot{M}_{\rm mean}$ [ $10^5 ~{M_{\hbox{$\odot$ }} ~\rm yr^{-1}}$ ]
				[ $M_{\hbox {$\odot $ }}$ ]	[%]		fitted		bin1	bin2	bin3	bin4
G1	-	-	50 000	0.44	93.1	56	31	0.49	1.18	1.30	1.70	2.93
G2	-	-	500 000	0.044	84.9	56	52	0.43	0.94	1.40	2.09	3.51
M01k2	0.1	1..2	205 379	0.058	74.9	95	91	0.43	0.77	1.76	3.04	-
M01k4	0.1	3..4	205 379	0.058	27.2	3	3	0.81	2.83	-	-	57.98
M01k8	0.1	7..8	205 379	0.058	85.9	3	3	0.47	-	1.37	13.25	59.16
M05k2	0.5	1..2	205 379	0.058	37.2	23	22	0.49	1.63	5.05	4.88	12.95
M05k4	0.5	3..4	205 379	0.058	77.9	48	48	0.39	1.31	2.49	2.56	6.30
M05k8	0.5	7..8	205 379	0.058	59.5	48	48	0.40	1.34	2.22	3.79	7.77
M2k2	2	1..2	205 379	0.058	75.1	68	62	0.41	0.86	1.38	2.54	4.32
M2k4	2	3..4	205 379	0.058	47.9	62	62	0.44	1.35	1.92	2.43	3.84
M2k8	2	7..8	205 379	0.058	66.2	42	40	0.42	0.87	1.29	1.72	3.38
M3k2	3.2	1..2	205 379	0.058	79.7	65	65	0.46	1.31	1.86	2.98	3.78
M3k4	3.2	3..4	205 379	0.058	82.1	37	35	0.55	1.01	1.13	1.15	1.86
M3k8	3.2	7..8	205 379	0.058	60.2	17	17	0.41	0.51	1.09	1.74	5.84
M6k2a	6	1..2	205 379	0.058	85.4	100	97	0.49	0.79	1.69	1.96	3.39
M6k4a	6	3..4	205 379	0.058	62.4	98	93	0.44	0.38	0.83	0.89	1.10
M6k2b	6	1..2	195 112	0.062	34.5	50	50	0.42	1.02	1.81	2.50	-
M6k4b	6	3..4	50 653	0.24	29.7	50	47	0.43	0.72	1.66	1.87	-
M6k8b	6	7..8	50 653	0.24	35.7	25	25	0.44	0.35	0.61	1.38	2.47
M6k2c	6	1..2	205 379	0.058	75.8	110	97	0.43	0.83	1.32	1.50	1.23
M6k4c	6	3..4	205 379	0.058	61.9	53	46	0.54	1.31	1.46	2.05	1.97
M6k8c	6	7..8	205 379	0.058	6.4	12	10	0.43	0.50	0.62	0.58	-
M10k2	10	1..2	205 379	0.058	56.5	150	146	0.44	1.08	2.62	2.09	-
M10k8	10	7..8	205 379	0.058	32.4	54	44	0.53	0.26	0.64	-	-

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