Free Access
Issue
A&A
Volume 577, May 2015
Article Number A78
Number of page(s) 53
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/201425359
Published online 06 May 2015

Online material

Appendix A: Optical spectra of nine galaxies

thumbnail Fig. A.1

Nuclear optical spectra of nine galaxies of our sample obtained with the FAST Spectrograph in the ranges 480–510 Å and 637–680 Å. The dashed lines mark the position of the Hβ, [O iii]λ5007 Å, Hα, and [N ii]λ6584 Å transitions.

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We present the optical spectra of nine galaxies in our sample without a previously published [N ii]/Hα ratio, to best of our knowledge. Their reduced spectra were available through the Smithsonian Astrophysical Observatory Telescope Data Center. They were obtained between 1998 and 2006 with the FAST Spectrograph (Tokarz & Roll 1997) on the Mount Hopkins Tillinghast 1.5 m reflector. The slit width was 3′′  and the spectra cover the spectral range between 3700 and 7500 Å with a dispersion of 1.5 Å per pixel. The integration times were between 600 and 1500 s. The spectra are not flux-calibrated, but they can be used to measure line ratios between transitions close in wavelength.

In the spectra shown in FigureA.1, we measured the fluxes of the Hβ, [O iii]λ5007 Å, Hα, and [N ii]λ6584 Å emission lines using a single-component Gaussian fit, except for CGCG 468-002 NED01, which shows a blue-shifted broad Hα component. The FWHM of the narrow component in this galaxy is ~500 km s-1 (Alonso-Herrero et al. 2013), whereas the broad Hα component has a FWHM of 3100 ± 190 km s-1 and is blue-shifted by 180 ± 60 km s-1. The observed line ratios are listed in Table A.1. Hβ is not corrected for stellar absorption.

We used the standard optical diagnostic diagram [N ii]/Hα vs. [O iii]/Hβ (Baldwin et al. 1981) to determine the nuclear activity classification. We used the boundary limits between H ii, composite and AGN galaxies proposed by Kewley et al. (2006). Figure A.2 shows that four of the galaxies lie in the composite region of the diagram, one in the H ii region, although close to the H ii-composite border, and one galaxy, CGCG 468-002 NED01, is classified as AGN. Since in this object we only detect a broad component in Hα, we classify it as Sy1.9. For UGC 03405 and NGC 7753, the Hβ and [O iii]λ5007 Å transitions were not detected so we excluded these objects from the diagram. However, the high [N ii]/Hα ratio in these two sources, together with the absence of [O iii] detections, which is bright in AGNs, suggests that these are composite galaxies.

Table A.1

Optical line ratios and nuclear activity classification.

thumbnail Fig. A.2

[N ii]λ6584 Å/Hα vs. [O iii]λ5007 Å/Hβ diagnostic diagram for the nuclear spectra of six LIRGs. The solid and dashed black lines mark the empirical separation between H ii, composite, and AGN galaxies from Kewley et al. (2006).

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Appendix B: Likelihood with detections and upper limits

In this appendix we briefly describe how the upper limits are included in our Bayesian analysis (see, e.g., Gregory 2005; Bohm & Zech 2010, for a general description of the Bayesian approach). We let Fi and σi be the flux and 1σ uncertainty

measured for a galaxy in the band i. If the galaxy is not detected, we measure the nσi upper limit. Likewise, the prediction of the model k for the flux of band i is Mi(k). The likelihood is defined as (B.1)For the detections we assume that fi follows a normal distribution (B.2)On the other hand, to obtain the likelihood for the upper limits, , we first calculate the probability for the flux to have an arbitrary value Ri. The unknown background in the aperture used to measure the flux is Bi. The standard deviation of the background is σi, and for simplicity we assume that the mean background of the image is zero. That the galaxy flux is Ri but we do not detect it on the image at a nσi level is because Ri + Bi<nσi. If the background follows a normal distribution the probability of this is (B.3)where Φ is the cumulative distribution function of the standard normal distribution. Therefore the likelihood value for the upper limits is (B.4)Then when substituting Eqs. (B.3) and (B.4) into Eq. (B.1), (B.5)where i1 and i2 are the subindices for the detections and non-detections, respectively. The logarithm of Eq. (B.5) is (B.6)Thus, we assign the following probability to model k in the parameter inference process (B.7)

Appendix C: Multi-wavelength imaging of the LIRGs

thumbnail Fig. C.1

Same as Fig. 1.

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Appendix D: Best fitting model results to the SED

thumbnail Fig. D.1

Same as Fig. 2.

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© ESO, 2015

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