pyDusty

Python wrapper for the radiative transfer code DUSTY (v4) (2000ASPC..196...77N). The original repository is at ivezic. The modified version for this python wrapper is here dusty.

Requirements

• python >= 3.10
• gfortran
• openmp support (for now is not optional; it will be compiled with -fopenmp flag)

A version of DUSTY (V4) will be installed with this package inside the package directory (pydusty/bin/dusty) and will be used as default.

Installation

pip install git+https://github.com/mgomezAstro/pyDusty.git

Example

To run pydusty:

import pydusty
from pathlib import Path


teff=2500
td = 250

model_name = f"sphere_{teff}_{td}"

mod = pydusty.DustyInp(model_name=model_name, project_dir="./output")
mod.options["r"] = 0 # No radial profile output (see dusty manual).
mod.options["m"] = 1 # Messages in one file (see dusty manual).
mod.options["flux conservation"] = 0.1 # Flux conservation at 10% max error.
mod.set_sphere(set_matrix=False)
mod.set_blackbody(temperature=2500)
mod.set_central_radiation(central=True)
mod.set_density_profile(density_type="POWD", n_pwd=1, thickness=1000, p=2)
mod.set_grain_size_dist(grain_distribution="MRN", amin=0.005, amax=0.25, q=3.5)
mod.set_grains_abund(
    predef_abund={"Sil-DL": 0.7},
    nk_files=["/path/to/your/nk_file/data/Lib_nk/amC-zb1.nk"],
    nk_abunds=[0.3],
)
mod.set_radiation_strenght(scale_type="T1", scale_value=td)
mod.set_optical_depth(
    tau_grid="LINEAR", lambda0=0.554, taumin=5, taumax=150, n_models=6
)
mod.set_comments(
    [
        "This is a model for the test object.",
        f"Main parameters: Teff--{teff}, and Td--{td}.",
        "Grains of Silicates (Sil-Oc) was set to 0.7 and aC to 0.3.",
    ]
)
mod.print_inp_file()

mod.run()

To read the output:

import pydusty


model_name = Path("./output/sphere_2500_250")


mod = pydusty.DustyReader(model_name)
wave, spec = mod.get_spectra()
ot = mod.get_output_data() #A dictionary with the the output table in the .out file.

See the docstrings for other methods included in pydusty.

Warranty

pyDusty is provided as it is. No warranty at all.

Acknowledgements

This project acknowledges to be funded by the European Union (ERC, CET-3PO, 101042610). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. We also acknowledge financial support from grant CEX2024-001451-M funded by MICIU/AEI/10.13039/501100011033 and the support from the State Research Agency (AEI) of the Ministry of Science, Innovation and Universities (MICIU) of the Government of Spain under grant PID2024-155585NA-I00 funded by MICIU/AEI/10.13039/501100011033.