Item Infomation


Title: 
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
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
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.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s00521-022-08071-x
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7375
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