@book{UBHD-69100614, author={Kang, Da Eun}, organization={Universit{\"a}t Heidelberg}, title={Determining physical properties of star-forming regions using conditional invertible neural network}, address={Heidelberg}, year={2023}, pages={xii, 169 Seiten}, language={eng}, school={Dissertation, Heidelberg University, 2023}, library={UB [Signatur: 2023 U 610]}, } @book{UBHD-69088842, author={Kang, Da Eun}, title={Determining physical properties of star-forming regions using conditional invertible neural network}, address={Heidelberg}, year={2023}, pages={1 Online-Ressource (185 Seiten)}, language={eng}, school={Dissertation, Heidelberg University, 2023}, doi={10.11588/heidok.00033392}, url={https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-333920}, library={UB}, } @article{UBHD-69146031, author={Kang, Da Eun and Klessen, Ralf S. and Ksoll, Victor F. and Ardizzone, Lynton and K{\"o}the, Ullrich and Glover, Simon}, title={Noise-Net}, subtitle={determining physical properties of H ii regions reflecting observational uncertainties}, year={2023}, pages={4981-5001}, language={eng}, issn={1365-2966}, volume={520}, number={4 vom: Apr.}, note={Gesehen am 24.11.2023}, journal={Monthly notices of the Royal Astronomical Society}, doi={10.1093/mnras/stad072}, } @article{UBHD-69140489, author={Kang, Da Eun and Ksoll, Victor F. and Itrich, Dominika and Testi, Leonardo and Klessen, Ralf S. and Hennebelle, Patrick and Molinari, Sergio}, title={Spectral classification of young stars using conditional invertible neural networks}, subtitle={I. Introducing and validating the method}, year={2023}, pages={1-29}, language={eng}, issn={1432-0746}, volume={674(2023) vom: Juni}, number={Artikel-ID A175}, note={Gesehen am 07.11.2023}, journal={Astronomy and astrophysics}, doi={10.1051/0004-6361/202346345}, } @article{UBHD-68906795, author={Kang, Da Eun and Pellegrini, Eric William and Ardizzone, Lynton and Klessen, Ralf S. and K{\"o}the, Ullrich and Glover, Simon and Ksoll, Victor F.}, title={Emission-line diagnostics of H ii regions using conditional invertible neural networks}, year={2022}, pages={31 S.}, language={eng}, issn={1365-2966}, volume={512}, note={Gesehen am 12.04.2022}, journal={Monthly notices of the Royal Astronomical Society}, doi={10.1093/mnras/stac222}, }