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Table 1.
Summary of photometric broadbands used for this machine learning pipeline.
| Band | λpiv(μm) | Band | λpiv(μm) |
|---|---|---|---|
| Input bands | |||
| GALEX FUV | 0.153 | 2MASS Ks | 2.16 |
| GALEX NUV | 0.229 | WISE 1 | 3.37 |
| SDSS u | 0.355 | WISE 2 | 4.62 |
| SDSS g | 0.480 | WISE 3 | 12.1 |
| SDSS r | 0.624 | WISE 4 | 22.2 |
| SDSS i | 0.766 | IRAC 1 | 3.56 |
| SDSS z | 0.908 | IRAC 2 | 4.50 |
| 2MASS J | 1.24 | IRAC 3 | 5.75 |
| 2MASS H | 1.65 | IRAC 4 | 7.92 |
| Bands used to constrain dust properties (target) | |||
| MIPS 1 | 23.6 | PACS 160 μm | 161 |
| MIPS 2 | 70.9 | SPIRE 250 μm | 253 |
| PACS 70 μm | 70.7 | SPIRE 350 μm | 354 |
| PACS 100 μm | 101 | SPIRE 500 μm | 515 |
Notes. λpiv represents the pivot wavelength of the band, calculated from the CIGALE transmission curves (Boquien et al. 2019).
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