DISTROI, or Disk Inner STructure Reconnaissance through Optical Inteferometry, is a Python package intended to compute optical interferometry (OI) observables from radiative transfer (RT) model images and compare them to observations from modern OI observatories (VLTI, CHARA, ...).
DISTROI depends on a few other Python packages. The main dependencies are listed in the requirements.txt file supplied with the source code. In addition, the distroiEnv.yml file can be used to create a conda environment with all dependencies installed via 'conda env create -f distroiEnv.yml'.
After installing all the dependencies, run the single_disk_model.py script in the 'examples' folder. This will run OI observable calculation for an example model of the dusty circumbinary disk surroudning the IRAS 08544-4431 system. This model is calculated using the MCFOST RT code (https://ipag.osug.fr/~pintec/mcfost/docs/html/overview.html). DISTROI is applied to four separate datasets, covering the H, K, L and N-band, and shows the resulting plots.
Copyright 2024 Toon De Prins
DISTROI is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3.0 of the License, or (at your option) any later version. DISTROI is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with DISTROI. If not, see https://www.gnu.org/licenses/.
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