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Table 3

Physical parameters for a subset of YSO Candidates in the IRAS 22147 region with at least five photometry points, including one at a wavelength longer than 12 µm.

Nr IRAC designation ‘SSTSMOGA’ Model Set(a) Class(b) init Class(c) SED Selection method(d) R* (R) T* (K) L (e) (L) (M) Age(f) (Myr)
YSO candidates at ~5.6kpc

1 G104.6697+02.9357 sp–smi II II+III ML 2.8 11340 120 3.0 2.3
2 G104.6895+02.7945 sp–smi I II+III CC 54.5 6760 5600
3 G104.6968+02.7925 s-ubsmi II 0 ML 4.2 10690 210
4 G104.7003+02.7923 spubsmi I I CC 16.4 5070 160
5 G104.7062+02.7895(ɡ) sp–h-i II II+III ML 32.9 6500 1750
6 G104.7118+02.7921 sp–h-i II II+III ML 58.9 4050 840
7 G104.7153+02.7979 sp–h-i II II+III ML 5.4 11280 430 4.4 0.8
8 G104.7241+02.8075 sp–h-i II II+III ML 11.2 5630 110
9 G104.7270+02.8003 sp–smi I II+III CC 11.5 14370 5050
10 G104.7934+02.6942 sp–s-i I II+III CC 3.6 10150 120 3.0 2.2
11 G104.8126+02.6920 sp–s-i I II+III CC 6.4 11760 700
12 G104.8206+02.7026 sp–smi I II+III CC 1.5 6980 5
13 G104.8383+02.7091 sp–s-i II II+III CC 13.8 4790 90

YSO candidates at ~2.2 kpc

1 G104.5582+02.8857 sp–s-i II II+III CC 2.8 5560 7 2.1 2.4
2 G104.6829+02.6173 sp–s-i II II+III CC 2.0 4220 1 0.7 1.0
3 G104.7009+02.6186 sp–s-i II II+III CC 1.1 5770 1
4 G104.7538+02.8964(ɡ) sp–hmi II II+III ML 1.4 6490 3
5 G104.7544+02.6101 sp–s-i I II+III CC 6.7 4160 12
6 G104.7622+02.7179 spu-hmi I I CC 4.1 4400 6 0.8 0.2
7 G104.8225+02.8393 sp–s-i I II+III CC 1.5 5150 2 1.4 4.1
8 G104.8429+02.6522(ɡ) sp–s-i I II+III CC 0.6 3840 0.1
9 G104.8436+02.7289 sp–s-i I II+III CC 1.4 4450 0.6
10 G104.8510+02.7998 sp–s-i I II+III CC 2.9 5580 7 2.1 2.3
11 G104.8965+02.7124 sp–smi II II+III ML 1.9 5650 3
12 G104.9084+02.7625(ɡ) sp–s-i II II+III CC 2.5 8270 27
13 G104.9180+02.7798 sp–hmi II II+III ML 0.9 4800 0.4

Notes. (a)See Table 2 footnotes for the meaning of characters in the model set names. (b)YSO class as initially determined using color–color diagrams and machine learning algorithms (Sects. 3.2 and 3.3, respectively). (c)YSO class as determined from the SED fitting (see Sect. 3.7). (d)Initial selection methods used in this work are the color–color/color–magnitude diagrams (CC; Sect. 3.2) and machine learning algorithms (ML; Sect. 3.3).(e) Stellar luminosities are calculated using the formula , where σSB is the Stefan–Boltzmann constant.(f)We provide stellar masses (M*) and ages (Age) only for sources with the most reliable estimates of these parameters (see Sect. 3.7).(ɡ) A more reliable distance for this source is provided by Gaia; see Appendix A for the SED model adopting the Gaia DR3 distance from Bailer-Jones et al. (2021).

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