2012
DOI: 10.1051/0004-6361/201117774
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Integrated spectra extraction based on signal-to-noise optimization using integral field spectroscopy

Abstract: Aims. We explore the potential of a method to extract high signal-to-noise (S/N) integrated spectra of particular physical and/or morphological regions of a two-dimensional field using integral field spectroscopy (IFS) observations by applying an optimization procedure based on either continuum (stellar) or line (nebular) emission features. Methods. The optimization method is applied to a set of IFS VLT-VIMOS observations of (U)LIRG galaxies. We describe the advantages of the optimization by comparing the resu… Show more

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Cited by 19 publications
(9 citation statements)
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“…From the lFS data cubes, we generated a spatially integrated spectrum per galaxy via the S/N optimization method proposed by Rosales-Ortega et al (2012), using the pingsoft tool (Rosales-Ortega 2011). Before integration, the spectra were corrected from the general stellar velocity pattern.…”
Section: Discussionmentioning
confidence: 99%
“…From the lFS data cubes, we generated a spatially integrated spectrum per galaxy via the S/N optimization method proposed by Rosales-Ortega et al (2012), using the pingsoft tool (Rosales-Ortega 2011). Before integration, the spectra were corrected from the general stellar velocity pattern.…”
Section: Discussionmentioning
confidence: 99%
“…In this manner the integrated spectra are not affected by the broadening due to the large-scale velocity field, and have increased S/N. We reject individual spectra with low S/N, following the procedure for an optimal extraction of IFS spectra proposed by Rosales-Ortega et al (2012). As a consequence the final spectra have in general very high S/N (i.e.,>100), which facilitates the line fitting (see Appendix A1).…”
Section: Integrated and Clumps Spectra Setsmentioning
confidence: 99%
“…The IFS analysis of NGC 628, the largest spectroscopic mosaic on a single galaxy, was taken as an example of the new methodology and analysis that could be performed with a large spectroscopic database for a single object. The contribution of PINGS also resides in defining a self-consistent methodology in terms of observation, data reduction and analysis for present and future IFS surveys of the kind, as well as a whole new set of visualization and analysis software that has been made public to the community (e.g., [51,52]). Despite all the complexities involved in the observations, data reduction, and analysis, PINGS proved to be feasible.…”
Section: Discussionmentioning
confidence: 99%