%0 Generic %1 ucci2016inferring %A Ucci, Graziano %A Ferrara, Andrea %A Gallerani, Simona %A Pallottini, Andrea %D 2016 %K emission line modelling %T Inferring physical properties of galaxies from their emission line spectra %U http://arxiv.org/abs/1611.00768 %X We present a new approach based on Supervised Machine Learning (SML) algorithms to infer key physical properties of galaxies (density, metallicity, column density and ionization parameter) from their emission line spectra. We introduce a numerical code (called GAME, GAlaxy Machine learning for Emission lines) implementing this method and test it extensively. GAME delivers excellent predictive performances, especially for estimates of metallicity and column densities. We compare GAME with the most widely used diagnostics (e.g. R$_23$, NII$łambda$6584 / H$\alpha$ indicators) showing that it provides much better accuracy and wider applicability range. GAME is particularly suitable for use in combination with Integral Field Unit (IFU) spectroscopy, both for rest-frame optical/UV nebular lines and far-infrared/sub-mm lines arising from Photo-Dissociation Regions. Finally, GAME can also be applied to the analysis of synthetic galaxy maps built from numerical simulations.

@misc{ucci2016inferring, abstract = {We present a new approach based on Supervised Machine Learning (SML) algorithms to infer key physical properties of galaxies (density, metallicity, column density and ionization parameter) from their emission line spectra. We introduce a numerical code (called GAME, GAlaxy Machine learning for Emission lines) implementing this method and test it extensively. GAME delivers excellent predictive performances, especially for estimates of metallicity and column densities. We compare GAME with the most widely used diagnostics (e.g. R$_{23}$, [NII]$\lambda$6584 / H$\alpha$ indicators) showing that it provides much better accuracy and wider applicability range. GAME is particularly suitable for use in combination with Integral Field Unit (IFU) spectroscopy, both for rest-frame optical/UV nebular lines and far-infrared/sub-mm lines arising from Photo-Dissociation Regions. Finally, GAME can also be applied to the analysis of synthetic galaxy maps built from numerical simulations.}, added-at = {2016-11-04T09:37:15.000+0100}, author = {Ucci, Graziano and Ferrara, Andrea and Gallerani, Simona and Pallottini, Andrea}, biburl = {https://www.bibsonomy.org/bibtex/266de7ad32d5bd7ef5745bc25e6978c9a/miki}, description = {[1611.00768] Inferring physical properties of galaxies from their emission line spectra}, interhash = {21285226d7cbab91c378357748026763}, intrahash = {66de7ad32d5bd7ef5745bc25e6978c9a}, keywords = {emission line modelling}, note = {cite arxiv:1611.00768Comment: 14 pages, 11 figures, accepted for publication in MNRAS}, timestamp = {2016-11-04T09:37:15.000+0100}, title = {Inferring physical properties of galaxies from their emission line spectra}, url = {http://arxiv.org/abs/1611.00768}, year = 2016 }