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 |
Appears in Collections |
OER - Công nghệ thông tin |
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