You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have noticed that the density and velocity structure of the wind can change quite a bit depending on the initial_f_ion parameter of the hydrogen.ion_fraction() function, via the mean molecular weight structure (and thus mu_bar). At first I thought that since initial_f_ion only fixes the value at the lower boundary, the value wouldn't matter too much, since the rest of the radial domain would be self-consistently solved and thus be relatively insensitive to the value at the boundary. However, when I run a generic planet, the mean molecular weight structure is different throughout a very large portion of the radial domain (see attached figure). The density structure changes by a factor ~2 depending on the value of initial_f_ion. In the figure, I've also added a simulation where I run p-winds's output structure through Cloudy, and use the mean molecular weight structure reported by Cloudy to calculate the mu_bar parameter and generate a new p-winds profile based on this value (until mu_bar converges in this way). This approach should give us a completely self-consistent mu_bar and outflow structure. I'm wondering if something similar would be possible with p-winds alone, without invoking Cloudy. Can p-winds somehow evaluate if the chosen initial_f_ion is "self-consistent" with the flow structure? And if not, do you have some insight in how to choose a reasonable value for initial_f_ion beforehand? As the Cloudy simulation shows, the flow cannot always be assumed to be completely atomic at the optical radius. I hope anyone has some ideas here!
Thanks!
Dion
The text was updated successfully, but these errors were encountered:
Thanks for the issue, Dion! This is giving me some food for thought. I ran a test where I calculate the H ion fraction using different values of initial_f_ion (0 and 1), and they yield similar profiles of velocities and densities (save a factor or ~2 or less, as you pointed out). But what bugs me is that the profile of H ionization fraction is wildly different (see plot below) and the He triplet profile is also somewhat different; hence why the mean molecular weight profile is also very different from self-consistent models.
I've been meaning to implement a more self-consistent approach to calculate the outflow structure, following, e.g., the formulation described in Allan+2023. It may take me some time to figure it out, though.
In the interim, I will search for a "post-processing" solution for this that wouldn't involve completely re-writing the parker module.
Hi Leonardo and community,
I have noticed that the density and velocity structure of the wind can change quite a bit depending on the
initial_f_ion
parameter of thehydrogen.ion_fraction()
function, via the mean molecular weight structure (and thusmu_bar
). At first I thought that sinceinitial_f_ion
only fixes the value at the lower boundary, the value wouldn't matter too much, since the rest of the radial domain would be self-consistently solved and thus be relatively insensitive to the value at the boundary. However, when I run a generic planet, the mean molecular weight structure is different throughout a very large portion of the radial domain (see attached figure). The density structure changes by a factor ~2 depending on the value ofinitial_f_ion
. In the figure, I've also added a simulation where I run p-winds's output structure through Cloudy, and use the mean molecular weight structure reported by Cloudy to calculate themu_bar
parameter and generate a new p-winds profile based on this value (untilmu_bar
converges in this way). This approach should give us a completely self-consistentmu_bar
and outflow structure. I'm wondering if something similar would be possible with p-winds alone, without invoking Cloudy. Can p-winds somehow evaluate if the choseninitial_f_ion
is "self-consistent" with the flow structure? And if not, do you have some insight in how to choose a reasonable value forinitial_f_ion
beforehand? As the Cloudy simulation shows, the flow cannot always be assumed to be completely atomic at the optical radius. I hope anyone has some ideas here!Thanks!
Dion
The text was updated successfully, but these errors were encountered: