Integral Field Spectroscopy of a sample of nearby galaxies. I. Sample, Observations and Data Reduction

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

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17 pages, 20 figures, accepted for publication in A&A

Scientific paper

Aims: Integral Field Spectroscopy (IFS) is a powerful approach for the study of nearby galaxies since it enables a detailed analysis of their resolved physical properties. Here we present the sample of nearby galaxies selected to exploit the two dimensional information provided by the IFS. Methods: We observed a sample of 48 galaxies from the Local Universe with the PPAK Integral Field Spectroscopy unit (IFU), of the PMAS spectrograph, mounted at the 3.5m telescope at Calar Alto Observatory (Almeria, Spain). Two different setups were used during these studies (low -V300- and medium -V600- resolution mode) covering a spectral range of around 3700-7000 Angs. We developed a full automatic pipeline for the data reduction, that includes an analysis of the quality of the final data products. We applied a decoupling method to obtain the ionised gas and stellar content of these galaxies, and to derive the main physical properties of the galaxies. To asses the accuracy in the measurements of the different parameters, we performed a set of simulations to derive the expected relative errors obtained with these data. In addition, we extracted two aperture, central and integrated spectra, from the datacubes. The main properties of the stellar populations and ionised gas of these galaxies and an estimate of their relative errors are derived from those spectra, as well as from the whole datacubes. Results: The comparison of the central spectrum extracted from the datacubes and the SDSS spectrum for those galaxies in common shows a good agreement between the derived values from both samples. We find differences in the properties of galaxies when comparing a central and an integrated spectra, showing the effects of the extracted aperture in the interpretation of the data. Finally, we present two dimensional maps of some of the main properties derived with the decoupling procedure.

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