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    • EmulART Emulating radiative transfer—a pilot study on autoencoder-based dimensionality reduction for radiative transfer models
    Authors: João, Rino-Silvestre; Santiago, González-Gaitán; Marko, Stalevski;  Advisor: -;  Co-Author: - (2023)

    Dust is a major component of the interstellar medium. Through scattering, absorption and thermal re-emission, it can profoundly alter astrophysical observations. Models for dust composition and distribution are necessary to better understand and curb their impact on observations. A new approach for serial and computationally inexpensive production of such models is here presented. Traditionally these models are studied with the help of radiative transfer modelling, a critical tool to understand the impact of dust attenuation and reddening on the observed properties of galaxies and active galactic nuclei.