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DBNets is a ML-based tool for inferring the mass of putative gap-opening planets in protoplanetary discs. For more details read our paper at this link: https://doi.org/10.1051/0004-6361/202348421.
Production input and output files, data analysis and plotting notebooks, and high-performance-computing-related resources related to Baronett, et al. (2024).
GreeDS algorithm from Pairet etal 2020. Re-implemented to be independent from MAYONNAISE
1D evolution code for growing and fragmenting dust in the presence of snow lines and particle trapping
A Jupyter notebook with a simple class to compute CO sizes and fluxes using the semi-analytical method developed by Zagaria et al. (2023b).