Closed oconnorb closed 3 years ago
Hi, this is controlled by the 'dust1' parameter. The FSPS manual has more details and references.
You can add "dust1" to the parameter set, either fixed or free, e.g.
model_params["dust1"] = dict(N=1, isfree=True, init=0.0, prior=prospect.models.priors.TopHat(mini=0, maxi=1.0))
In Leja et all the value of "dust1" is tied to the value of "dust2" via a new parameter and parameter transformation
model_params["dust1"] = {"N": 1, "isfree": False, 'depends_on': prospect.models.transforms.dustratio_to_dust1,
"init": 0.0, "units": "optical depth towards young stars"}
model_params["dust_ratio"] = {"N": 1, "isfree": True,
"init": 1.0, "units": "ratio of birth-cloud to diffuse dust",
"prior": priors.ClippedNormal(mini=0.0, maxi=2.0, mean=1.0, sigma=0.3)}
Hope this helps.
Thank you very much. The FSPS manual is very helpful, as are your comments on how to tie dust1 and dust2.
Hello,
I am curious as to the proper method to account for additional dust attenuation in star forming regions. Is there an implementation of dust in nebular regions within prospector? I found reference to this in Section 3.1.3 of Leja et al. 2017 (https://iopscience.iop.org/article/10.3847/1538-4357/aa5ffe/pdf), but I have not found a description of the method for this in the docs.
Thank you, Brendan O'Connor