Dustribution
"Dustribution" algorithm for mapping the 3D dust density and extinction of the Milky Way using latent variable Gaussian processes and variational inference
Install / Use
/learn @Thavisha/DustributionREADME
Mapping the Interstellar Dust Extinction and Density in 3D
The latest results from Dustribution can be viewed and downloaded from www.mwdust.com
Seperate codes are provided for the versions used in each of publications listed below
References:
- Dharmawardena et al., 2024 Accepted MNRAS [https://ui.adsabs.harvard.edu/abs/2024arXiv240606740D/abstract] - FullMW Code
- Dharmawardena et al., 2023, Monthly Notices of the Royal Astronomical Society, Volume 519, Issue 1, pp.228-247 [https://ui.adsabs.harvard.edu/abs/2023MNRAS.519..228D/abstract] - Molecular Clouds Code
- Dharmawardena et al., 2022, Astronomy & Astrophysics, Volume 658, id.A166, 30 pp [https://ui.adsabs.harvard.edu/abs/2022A%26A...658A.166D/abstract] - Molecular Clouds Code
*** Please refer to the README in the individual folders for the details of the methods ***
All versions use latent variable Gaussian processes combined with variational inference with GP optimisation carried out using the gradient descent algorithm ADAMW. They require input data of the positions and distances of stars, and measurements of extinction/absorption towards the stars.
For details of how to use each version, please refer to their individual READMEs.
