2025MNRAS.536.2392C


Query : 2025MNRAS.536.2392C

2025MNRAS.536.2392C - Mon. Not. R. Astron. Soc., 536, 2392-2403 (2025/January-3)

CO-to-H2 conversion factor and grain size distribution through the analysis of αCO-qPAH relation.

CHIANG I.-D., HIRASHITA H., CHASTENET J., SANDSTROM K.M., KOCH E.W., LEROY A.K., TENG Y.-H. and WILLIAMS T.G.

Abstract (from CDS):

The CO-to-H$_2$ conversion factor ($\alpha _\mathrm{CO}$) is expected to vary with dust abundance and grain size distribution through the efficiency of shielding gas from CO-dissociation radiation. We present a comprehensive analysis of $\alpha _\mathrm{CO}$ and grain size distribution for nearby galaxies, using the polycyclic aromatic hydrocarbon (PAH) fraction ($q_\mathrm{PAH}$) as an observable proxy of grain size distribution. We adopt the resolved observations at 2 kpc resolution in 42 nearby galaxies, where $\alpha _\mathrm{CO}$ is derived from measured metallicity and surface densities of dust and H I assuming a fixed dust-to-metal ratio. We use an analytical model for the evolution of H$_2$ and CO, in which the evolution of grain size distribution is controlled by the dense-gas fraction ($\eta$). We find that the observed level of $q_\mathrm{PAH}$ is consistent with the diffuse-gas-dominated model ($\eta =0.2$) where dust shattering is more efficient. Meanwhile, the slight decreasing trend of observed $q_\mathrm{PAH}$ with metallicity is more consistent with high-$\eta$ predictions, likely due to the more efficient loss of PAHs by coagulation. We discuss how grain size distribution (indicated by $q_\mathrm{PAH}$) and metallicity impact $\alpha _\mathrm{CO}$; we, however, did not obtain conclusive evidence that the grain size distribution affects $\alpha _\mathrm{CO}$. Observations and model predictions show similar anticorrelation between $\alpha _\mathrm{CO}$ and 12 + log(O/H). Meanwhile, there is a considerable difference in how resolved $\alpha _\mathrm{CO}$ behaves with $q_\mathrm{PAH}$. The observed $\alpha _\mathrm{CO}$ has a positive correlation with $q_\mathrm{PAH}$, while the model-predicted $\alpha _\mathrm{CO}$ does not have a definite correlation with $q_\mathrm{PAH}$. This difference is likely due to the limitation of one-zone treatment in the model.

Abstract Copyright: © 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.

Journal keyword(s): dust, extinction - ISM: molecules - galaxies: ISM - infrared: ISM

Simbad objects: 44

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Number of rows : 44
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 NGC 253 SyG 00 47 33.134 -25 17 19.68   8.03   6.94 8.1 ~ 3588 2
2 NGC 300 GiG 00 54 53.4465638304 -37 41 03.168402396 8.83 8.69 8.13 7.46   ~ 1614 2
3 M 33 GiG 01 33 50.8965749232 +30 39 36.630403128 6.17 6.27 5.72     ~ 6226 1
4 M 74 G 01 36 41.7451236624 +15 47 01.107512304 10.52 10.00 9.46 9.16   ~ 1934 1
5 NGC 925 H2G 02 27 16.913 +33 34 43.97   10.69 10.12 9.55   ~ 818 1
6 NAME Magellanic Clouds GrG 03 00 -71.0           ~ 7988 0
7 IC 342 AGN 03 46 48.514 +68 05 45.98   10.5       ~ 1579 1
8 NAME LMC G 05 23 34.6 -69 45 22     0.4     ~ 19090 0
9 NGC 2403 AGN 07 36 51.3381434280 +65 36 09.650825640 9.31 8.84 8.38 8.19   ~ 1887 1
10 NGC 2841 LIN 09 22 02.6778711696 +50 58 35.737082868 10.43 10.09 9.22     ~ 1113 1
11 NGC 2976 GiG 09 47 15.458 +67 54 58.97 11.77 11.03 10.16 9.51   ~ 712 1
12 NGC 3180 GiG 10 18 16.985 +41 25 27.77   10.4       ~ 777 0
13 NGC 3198 EmG 10 19 54.990 +45 32 58.88 10.83 10.87 10.33     ~ 946 1
14 M 95 GiP 10 43 57.7313485800 +11 42 13.301191332 10.71 10.51 9.73 9.48   ~ 1238 2
15 NGC 3521 EmG 11 05 48.5680991376 -00 02 09.245076540 10.06 9.83 9.02 10.1 9.6 ~ 879 2
16 NGC 3596 H2G 11 15 06.2081129496 +14 47 13.284196332   12.01 11.49 10.99 10.45 ~ 226 0
17 NGC 3621 Sy2 11 18 16.300 -32 48 45.36 10.10 9.44 9.56 8.07 10.1 ~ 661 3
18 M 66 AGN 11 20 15.0 +12 59 29 9.85 9.65 8.92     ~ 1509 4
19 NGC 3631 AG? 11 21 02.8871865144 +53 10 10.415331660   11.0       ~ 385 1
20 NGC 3938 GiG 11 52 49.4335936248 +44 07 14.697085116 10.80 10.90 10.38     ~ 566 1
21 NGC 3953 GiG 11 53 49.0086582552 +52 19 36.475395312   11.08   9.71   ~ 380 0
22 NGC 4030 EmG 12 00 23.6102390784 -01 06 00.197099136   11.42   10.3 10.4 ~ 361 1
23 NGC 4051 Sy1 12 03 09.6101337312 +44 31 52.682601288   11.08 12.92 9.94   ~ 2270 1
24 NGC 4207 GiG 12 15 30.436 +09 35 05.78   13.7       ~ 179 0
25 M 99 H2G 12 18 49.625 +14 24 59.36 10.45 10.44 9.87     ~ 1004 2
26 M 106 Sy2 12 18 57.620 +47 18 13.39   9.14 8.41 8.11   ~ 2512 4
27 M 100 AGN 12 22 54.9299993592 +15 49 20.296257960 10.04 10.05 9.35     ~ 1963 2
28 NGC 4450 LIN 12 28 29.5910654016 +17 05 05.976112020   10.90 10.08     ~ 587 2
29 NGC 4496 GiP 12 31 39.2222392512 +03 56 21.641352828   11.71       ~ 376 0
30 M 88 Sy2 12 31 59.1525062448 +14 25 13.148971824   14.33 13.18     ~ 843 1
31 NGC 4536 H2G 12 34 27.12887 +02 11 16.3680 11.14 11.16 10.55 17.393   ~ 913 3
32 M 90 Sy2 12 36 49.8009839880 +13 09 46.523813040 10.56 10.26 9.54     ~ 953 1
33 NGC 4625 SyG 12 41 52.7121819576 +41 16 26.115765780 12.74 12.92 12.35     ~ 383 2
34 NGC 4651 LIN 12 43 42.6376070448 +16 23 36.002649300   11.30 10.92 10.42 9.84 ~ 537 0
35 NGC 4689 H2G 12 47 45.5568088416 +13 45 46.135889100   12.8       ~ 418 0
36 NGC 4725 Sy2 12 50 26.5716367992 +25 30 02.733090588   13.45 12.44     ~ 727 2
37 M 94 SyG 12 50 53.0737971432 +41 07 12.900884628 9.15 8.96 8.24 7.78   ~ 1476 2
38 NGC 4941 Sy2 13 04 13.1036380320 -05 33 05.752803672   13.18 12.23 10.74   ~ 410 0
39 M 63 LIN 13 15 49.2741893928 +42 01 45.728076108   9.34 8.59 8.35   ~ 1292 2
40 NGC 5248 G 13 37 32.0145074088 +08 53 06.496982448   11.4       ~ 554 0
41 M 101 GiP 14 03 12.583 +54 20 55.50   8.46 7.86 7.76   ~ 3138 2
42 NGC 6946 H2G 20 34 52.332 +60 09 13.24   10.5       ~ 2661 2
43 NGC 7331 LIN 22 37 04.0506038088 +34 24 56.800076508 10.65 10.35 9.48     ~ 1284 2
44 NGC 7793 GiG 23 57 49.7540045856 -32 35 27.701550744 10.26 9.74 9.28 9.06 9.7 ~ 1188 2

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