Table 2
Summary of the properties used to generate the training set for this work.
| Quantity | Variable | Bins | Min | Max |
|---|---|---|---|---|
| Gas density | log(n/cm−3) | 64 | −2 | 3.5 |
| Abundances | log(ni/n) | 512 | −6 | 0 |
| Temperature | log(T/K) | 64 | log(20) | 5.5 |
| Radiation | log(Fi/eV cm−2 s−1 Hz) | 64 | −15 | −5 |
| Time | t/kyr | 16 | 0 | 1 |
Notes. As detailed in Sect. 2.3, we vary the initial gas density (n), species abundances (ni/n), and temperature (T), by allowing a for a radiation field split in 10 energy bins (Fi) and by solving the chemical evolution up to a time t. Each model is generated with KROME for a chemical network up to H2 formation (9 species, 52 reactions; see Sect. 2.1 for details.) In total, the dataset contains 644 245 094 ≃ 6.4 × 108 models.
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