The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations

In this work we present a set of synthetic observations that mimic the properties of the integral field spectroscopy (IFS) survey Calar Alto Legacy Integral-Field Area (CALIFA), generated using radiative transfer techniques applied to hydrodynamical simulations of galaxies in a cosmological context....

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Detalles Bibliográficos
Publicado: 2018
Materias:
Galaxies: evolution
Galaxies: formation
Hydrodynamics
Methods: numerical
Radiative transfer
Techniques: imaging spectroscopy
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00358711_v479_n1_p917_Guidi
http://hdl.handle.net/20.500.12110/paper_00358711_v479_n1_p917_Guidi
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling paper:paper_00358711_v479_n1_p917_Guidi2025-07-30T17:42:29Z The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations Galaxies: evolution Galaxies: formation Hydrodynamics Methods: numerical Radiative transfer Techniques: imaging spectroscopy In this work we present a set of synthetic observations that mimic the properties of the integral field spectroscopy (IFS) survey Calar Alto Legacy Integral-Field Area (CALIFA), generated using radiative transfer techniques applied to hydrodynamical simulations of galaxies in a cosmological context. The simulated spatially-resolved spectra include stellar and nebular emission, kinematic broadening of the lines, and dust extinction and scattering. The results of the radiative transfer simulations have been post-processed to reproduce the main properties of the CALIFA V500 and V1200 observational setups. The data has been further formatted to mimic the CALIFA survey in terms of field-of-view size, spectral range and sampling. We have included the effect of the spatial and spectral point spread functions affecting CALIFA observations, and added detector noise after characterizing it on a sample of 367 galaxies. The simulated data cubes are suited to be analysed by the same algorithms used on real IFS data. In order to provide a benchmark to compare the results obtained applying IFS observational techniques to our synthetic data cubes and test the calibration and accuracy of the analysis tools, we have computed the spatially-resolved properties of the simulations. Hence, we provide maps derived directly from the hydrodynamical snapshots or the noiseless spectra, in a way that is consistent with the values recovered by the observational analysis algorithms. Both the synthetic observations and the product data cubes are public and can be found in the collaboration website http://astro.ft.uam.es/selgifs/data challenge/. © 2018 The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society. 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00358711_v479_n1_p917_Guidi http://hdl.handle.net/20.500.12110/paper_00358711_v479_n1_p917_Guidi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Galaxies: evolution
Galaxies: formation
Hydrodynamics
Methods: numerical
Radiative transfer
Techniques: imaging spectroscopy
spellingShingle Galaxies: evolution
Galaxies: formation
Hydrodynamics
Methods: numerical
Radiative transfer
Techniques: imaging spectroscopy
The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
topic_facet Galaxies: evolution
Galaxies: formation
Hydrodynamics
Methods: numerical
Radiative transfer
Techniques: imaging spectroscopy
description In this work we present a set of synthetic observations that mimic the properties of the integral field spectroscopy (IFS) survey Calar Alto Legacy Integral-Field Area (CALIFA), generated using radiative transfer techniques applied to hydrodynamical simulations of galaxies in a cosmological context. The simulated spatially-resolved spectra include stellar and nebular emission, kinematic broadening of the lines, and dust extinction and scattering. The results of the radiative transfer simulations have been post-processed to reproduce the main properties of the CALIFA V500 and V1200 observational setups. The data has been further formatted to mimic the CALIFA survey in terms of field-of-view size, spectral range and sampling. We have included the effect of the spatial and spectral point spread functions affecting CALIFA observations, and added detector noise after characterizing it on a sample of 367 galaxies. The simulated data cubes are suited to be analysed by the same algorithms used on real IFS data. In order to provide a benchmark to compare the results obtained applying IFS observational techniques to our synthetic data cubes and test the calibration and accuracy of the analysis tools, we have computed the spatially-resolved properties of the simulations. Hence, we provide maps derived directly from the hydrodynamical snapshots or the noiseless spectra, in a way that is consistent with the values recovered by the observational analysis algorithms. Both the synthetic observations and the product data cubes are public and can be found in the collaboration website http://astro.ft.uam.es/selgifs/data challenge/. © 2018 The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society.
title The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
title_short The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
title_full The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
title_fullStr The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
title_full_unstemmed The SELGIFS data challenge: Generating synthetic observations of CALIFA galaxies from hydrodynamical simulations
title_sort selgifs data challenge: generating synthetic observations of califa galaxies from hydrodynamical simulations
publishDate 2018
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00358711_v479_n1_p917_Guidi
http://hdl.handle.net/20.500.12110/paper_00358711_v479_n1_p917_Guidi
_version_ 1840327124555137024

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