Table 2
Overview of the different stellar and dust components in the RT model of M 51.
| Component | Parameter | Value |
|
|
||
| Old stars | ||
|
|
||
| Bulgea | n | 0.67 |
| Re [pc] | 635.3 | |
| q | 0.88 | |
| LV [L⊙ ,V] | 3.2 × 109 | |
|
|
||
| Thick diskb | 2D geometry | IRAC 3.6 μmc |
| hz [pc] | 450 | |
| LV [L⊙ ,V] | 2.0 × 1010 | |
|
|
||
| Young stars (non-ionizing) | ||
|
|
||
| Thin diskd | 2D geometry | GALEX FUVe |
| hz [pc] | 100 | |
| SFR [M⊙ yr-1] | 3 | |
|
|
||
| Young stars (ionizing) | ||
|
|
||
| Thin diskf | 2D geometry | Hα + 0.031 × MIPS 24 μmg |
| hz [pc] | 100 | |
| SFR [M⊙ yr-1] | 3 | |
| Md [M⊙] | 4.5 ×106 | |
|
|
||
| Dust | ||
|
|
||
| Thin diskh | 2D geometry | A FUV i |
| hz [pc] | 225 | |
| Md [M⊙] | 7.3 ×107 | |
Notes.
The bulge component is modeled as a flattened Sérsic parametrized through the effective radius Re, Sérsic index n, intrinsic flattening q and V band luminosity LV.
The thick disk is modeled using observations to constrain the 2D geometry, and assuming an exponential distribution with scale height hz in the vertical direction. The V band luminosity, LV, determines the normalization of the stellar emission spectrum.
The thin disk of non-ionizing stars is modeled using observations to constrain the 2D geometry, and assuming an exponential distribution with scale height hz in the vertical direction. The star formation rate, SFR, determines the normalization of the stellar emission spectrum.
The thin disk of ionizing stars is modeled using observations to constrain the 2D geometry, and assuming an exponential distribution with scale height hz in the vertical direction. The star formation rate, SFR, determines the normalization of the stellar+PDR emission spectrum. The dust mass, Md, signifies the amount of grains present in the shells around young stellar clusters, associated with the PDR models.
The thin dust disk is modeled using observations to constrain the 2D geometry, and assuming an exponential distribution with scale height hz in the vertical direction. The dust mass, Md, is used to normalize the amount of grains in the RT model.
Constructed based on the prescriptions from Cortese et al. (2008).
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