Computing photochemistry
Stellar radiation drives disequilibrium chemistry through photodissociation. VULCAN computes the wavelength-dependent radiation field, then integrates it against absorption cross sections to obtain photolysis rates (Section 2.4 of Tsai et al. 2021 1).
Photodissociation
A photolysis reaction is written schematically as the unimolecular process
producing reactive radicals that initiate chains essential to atmospheric chemistry (the ozone cycle on Earth, organic-haze formation on Titan).
Actinic flux
The radiation field is described by the actinic flux \(J(z,\lambda)\): photons per unit time, area, and wavelength from all directions. It has a direct-beam and a diffuse component:
with \(\mu = \cos\theta\) for stellar zenith angle \(\theta\). The direct term has no cosine prefactor (unlike radiative heating) because the number of intercepted molecules is independent of beam direction.
The optical depth includes absorption and scattering,
where the absorption cross section \(\sigma_{\text{a},\text{i}}\) can differ from the photodissociation cross section (absorption is not always followed by dissociation).
The diffuse flux is obtained with the two-stream approximation of Malik et al. (2019) 2 and converted to total intensity using the first Eddington coefficient \(\bar\epsilon\) (Heng et al. 2018 3):
Multiple scattering is handled iteratively; the converged state is typically reached within ~200 iterations for a strongly irradiated hot Jupiter.
Photolysis rates
The photolysis rate coefficient integrates the actinic flux and absorption cross section over wavelength,
with \(q(\lambda)\) the quantum yield (probability of a given branch per absorbed photon), and the photolysis rate of the reaction is \(\mathrm{d}n_A/\mathrm{d}t = -k\,n_A\). Cross sections are taken from the Leiden Observatory database (Heays et al. 2017 4) where available.
Implementation in VULCAN
The radiative-transfer and photolysis routines live in op.ODESolver:
| Step | Routine | Notes |
|---|---|---|
| Optical depth, Eq. (9) | compute_tau |
accumulates y·dz·cross (and scattering cross_scat) downward; uses cross_T for T-dependent species |
| Radiation field, Eqs. (8),(10) | compute_flux |
two-stream with \(\zeta_\pm\), transmission tran, Eddington edd; direct beam by Beer's law sflux_top·exp(-tau/cos(sl_angle)) |
| Photolysis rates, Eq. (11) | compute_J |
trapezoidal sum over the two-resolution bin grid; writes k[pho_rate_index] |
| Photoionization rates | compute_Jion |
only when use_ion = True |
The stellar spectrum is read and scaled to the planet in build_atm.Atm.read_sflux, by the
factor \((R_\star R_\odot / a\,\mathrm{au})^2\), and interpolated onto the bin grid with an
energy-conservation check logged as a percentage. The wavelength grid is built in
ReadRate.make_bins_read_cross using two uniform resolutions, dbin1 below dbin_12trans
and dbin2 above, so that the fine structure in the (X)UV is resolved without oversampling
the longer wavelengths (resolution errors are quantified in Appendix B of the paper).
Each computed branch rate is multiplied by f_diurnal, the diurnal-averaging factor
(1.0 for a tidally locked planet, 0.5 for a rotating planet such as Earth). The actinic
flux is recomputed periodically rather than every step: every ini_update_photo_frq steps
initially, switching to final_update_photo_frq once the solution is near convergence.
Relevant parameters
| Parameter | Meaning |
|---|---|
sl_angle |
stellar zenith angle \(\theta\) (radians); dayside-average values |
edd |
first Eddington coefficient \(\bar\epsilon\) (0.5) |
f_diurnal |
diurnal-averaging factor |
dbin1, dbin2, dbin_12trans |
bin widths (nm) and the switch wavelength |
scat_sp |
species included in Rayleigh scattering (e.g. H\(_2\), He) |
r_star, orbit_radius |
stellar radius and orbital distance for flux scaling |
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Tsai, S.-M., Malik, M., Kitzmann, D., et al. (2021). A comparative study of atmospheric chemistry with VULCAN. The Astrophysical Journal, 923(2), 264. https://doi.org/10.3847/1538-4357/ac29bc ↩
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Malik, M., Kitzmann, D., Mendonça, J. M., et al. (2019). Self-luminous and irradiated exoplanetary atmospheres explored with HELIOS. The Astronomical Journal, 157(5), 170. https://doi.org/10.3847/1538-3881/ab1084 ↩
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Heng, K., Malik, M., & Kitzmann, D. (2018). Analytical models of exoplanetary atmospheres. VI. VI. Full Solutions for Improved Two-stream Radiative Transfer, Including Direct Stellar Beam. The Astrophysical Journal Supplement Series, 237(2), 29. https://doi.org/10.3847/1538-4365/aad199 ↩
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Heays, A. N., Bosman, A. D., & van Dishoeck, E. F. (2017). Photodissociation and photoionisation of atoms and molecules of astrophysical interest. Astronomy & Astrophysics, 602, A105. https://doi.org/10.1051/0004-6361/201628742 ↩