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17401. WINGS cluster survey second u-band extension
ID:
ivo://CDS.VizieR/J/A+A/637/A54
Title:
WINGS cluster survey second u-band extension
Short Name:
J/A+A/637/A54
Date:
21 Oct 2021
Publisher:
CDS
Description:
This is the second u-band extension of the WIde-field Nearby Galaxy-cluster Survey (WINGS), obtained by imaging 39 clusters with the ESO-VLT survey telescope. It follows the first one, realized with several telescopes of the northern hemisphere in the U Cousin-Bessel filter band (Omizzolo et al., 2014A&A...561A.111O, Cat. J/A+A/561/A111), that covered 17 clusters. The u-band data, in combination with those already achieved by the WINGS survey, will permit a detailed multi-wavelength investigation of the properties of the member galaxies from the cluster center out to the periphery. We have derived with SEXT the main properties of the galaxies in the observed fields and measured the u-V colors on circular apertures of increasing radius. The photometric accuracy of the magnitudes has been calibrated with the standard stars and tested by means of comparisons with the u-band data of the Sloan Digital Sky Survey (SDSS). We present the catalogs of the photometric analysis performed by SEXT. Then we provide a brief analysis of the u-V vs V color-magnitude diagram of our clusters, the plots of the color as a function of the cluster-centric distance (for cluster members only) and the correlation of the current star formation rate (SFR) vs the absolute V and u magnitudes for the galaxies in the observed fields.
17402. WINGS: Deep optical phot. of 77 nearby clusters
ID:
ivo://CDS.VizieR/J/A+A/497/667
Title:
WINGS: Deep optical phot. of 77 nearby clusters
Short Name:
J/A+A/497/667
Date:
21 Oct 2021
Publisher:
CDS
Description:
This is the second paper of a series devoted to the WIde Field Nearby Galaxy-cluster Survey (WINGS). WINGS is a long term project which is gathering wide-field, multi-band imaging and spectroscopy of galaxies in a complete sample of 77 X-ray selected, nearby clusters (0.04<z<0.07) located far from the galactic plane (|b|>200deg). The main goal of this project is to establish a local reference for evolutionary studies of galaxies and galaxy clusters. This paper presents the optical (B,V) photometric catalogs of the WINGS sample and describes the procedures followed to construct them. We have paid special care to correctly treat the large extended galaxies (which includes the brightest cluster galaxies) and the reduction of the influence of the bright halos of very bright stars. We have constructed photometric catalogs based on wide-field images in B and V bands using SExtractor. Photometry has been performed on images in which large galaxies and halos of bright stars were removed after modeling them with elliptical isophotes. We publish deep optical photometric catalogs (90% complete at V21.7, which translates to ~ MV* + 6 at mean redshift), giving positions, geometrical parameters, and several total and aperture magnitudes for all the objects detected. For each field we have produced three catalogs containing galaxies, stars and objects of "unknown" classification (~16%). From simulations we found that the uncertainty of our photometry is quite dependent of the light profile of the objects with stars having the most robust photometry and de Vaucouleurs profiles showing higher uncertainties and also an additional bias of ~-0.2m. The star/galaxy classification of the bright objects (V<20) was checked visually making negligible the fraction of misclassified objects. For fainter objects, we found that simulations do not provide reliable estimates of the possible misclassification and therefore we have compared our data with that from deep counts of galaxies and star counts from models of our Galaxy. Both sets turned out to be consistent with our data within ~5% (in the ratio galaxies/total) up to V~24. Finally, we remark that the application of our special procedure to remove large halos improves the photometry of the large galaxies in our sample with respect to the use of blind automatic procedures and increases (~16%) the detection rate of objects projected onto them.
17403. WINGS equivalent widths
ID:
ivo://ia2.inaf.it/hosted/wings/cone/eqwidth
Title:
WINGS equivalent widths
Short Name:
WINGSEqwidth
Date:
13 Mar 2019 11:58:19
Publisher:
IA2
Description:
The catalog gives the measurements of the optical lines equivalent widths and statistical errors for a sample of ~4400 objects detected in 48 WINGS clusters for which the spectrum is available and reliable. Emission lines have negative EWs, and absorption lines positive EWs, with all the quantities given at rest frame. Spectra were obtained with WYFFOS@WHT and 2dF@AAT and have a resolution of 6 and 9 AA FWHM, respectively. The wavelength coverage ranges from &#8764; 3590 to &#8764; 6800 AA for the WHT observations, while spectra taken at the AAT cover the &#8764; 3600 to &#8764; 8000 AA domain. For each object the catalog gives also the magnitude and radial completeness (or weight) that, once combined, describe the global completeness of the sample. Finally a spectral classification is available, made on the basis of the presence/absence and intensity of spectral lines (following Poggianti et al., 1999): 1=e(a); 2=e(b); 3=e(c); 4=k; 5=k+a; 6=a+k.
17404. WINGS galaxies surface photometry with GASPHOT
ID:
ivo://CDS.VizieR/J/A+A/572/A87
Title:
WINGS galaxies surface photometry with GASPHOT
Short Name:
J/A+A/572/A87
Date:
21 Oct 2021
Publisher:
CDS
Description:
We present the B, V, and K band surface photometry catalogs obtained by running the automatic software GASPHOT on galaxies from the WINGS cluster survey with isophotal areas larger than 200 pixels. The luminosity growth curves of stars and galaxies in a given catalog relative to a given cluster image were obtained simultaneously by slicing the image with a fixed surface brightness step in several SExtractor runs. Then, using a single Sersic law convolved with a space-varying point spread function (PSF), GASPHOT performed a simultaneous {chi}^2^ best-fit of the major- and minor-axis luminosity growth curves of galaxies. We outline the GASPHOT performances and compare our surface photometry with that obtained by SExtractor, GALFIT, and GIM2D. This analysis is aimed at providing statistical information about the accuracy that is generally achieved by the softwares for automatic surface photometry of galaxies.
17405. WINGS JK photometry of 28 galaxy clusters
ID:
ivo://CDS.VizieR/J/A+A/501/851
Title:
WINGS JK photometry of 28 galaxy clusters
Short Name:
J/A+A/501/851
Date:
21 Oct 2021
Publisher:
CDS
Description:
This is the third paper in a series devoted to the WIde-field Nearby Galaxy-cluster Survey (WINGS). WINGS is a long-term project aimed at gathering wide-field, multiband imaging and spectroscopy of galaxies in a complete sample of 77 X-ray selected, nearby clusters (0.04<z<0.07) located far from the galactic plane (|b|>=20{deg}). The main goal of this project is to establish a local reference sample for evolutionary studies of galaxies and galaxy clusters. This paper presents the near-infrared (J,K) photometric catalogs of 28 clusters of the WINGS sample and describes the procedures followed to construct them.
17406. WINGS J photometry
ID:
ivo://ia2.inaf.it/hosted/wings/cone/nirj
Title:
WINGS J photometry
Short Name:
WINGSNirj
Date:
13 Mar 2019 11:59:38
Publisher:
IA2
Description:
Near infrared J photometry for UKIRT detections in 19 belonging to the WINGS survey. (http://adsabs.harvard.edu/abs/2009A%26A...501..851V)
17407. WINGS K photometry
ID:
ivo://ia2.inaf.it/hosted/wings/cone/nirk
Title:
WINGS K photometry
Short Name:
WINGSNirk
Date:
13 Mar 2019 11:59:53
Publisher:
IA2
Description:
Near infrared K photometry for UKIRT detections in 26 belonging to the WINGS survey. (http://adsabs.harvard.edu/abs/2009A%26A...501..851V)
17408. WINGS K surface photometry
ID:
ivo://ia2.inaf.it/hosted/wings/cone/gasphotk
Title:
WINGS K surface photometry
Short Name:
WINGSGasphotk
Date:
13 Mar 2019 11:58:47
Publisher:
IA2
Description:
This catalog contains the surface brightness measurements of ~71700 galaxies detected in the K images of the WINGS cluster survey for a subsample of 26 clusters observed with the UKIRT WFCAM. For each galaxy K magnitude, mean surface brightness, effective radius, Sersic index and axial ratio are given, together with their erros. These global parameters were obtained by simultaneously fitting the major and minor axis light growth curves of galaxies with a 2D flattened Sersic-law, convolved by the appropriate, space-varying PSF, which was previously evaluated by the tool itself. (http://adsabs.harvard.edu/abs/2006A%26A...446..373P)
17409. WINGS local densities (Mv<-19.5)
ID:
ivo://ia2.inaf.it/hosted/wings/cone/locdens
Title:
WINGS local densities (Mv<-19.5)
Short Name:
WINGSLocDens19.5
Date:
13 Mar 2019 11:59:19
Publisher:
IA2
Description:
For each WINGS galaxy with V absolute magnitude brighter than -16, the local density calculated as the Log (decimal) of the number of galaxies with M_V <= -19.5 per Mpc**2 is given. It is computed from the circular area enclosing the first 10 closest galaxies, plus the background counts expected from Berta et al. (2006). The Local Densities are also corrected for border effects. The Coverage field fraction are also given, both at CCDX, i.e. the fraction of the circular area of radius CCDX and centered in the X-ray center, which is included in the field of the CCD mosaics, and at CCDB (centered in the BCG). For clusters without velocity dispersion the distances are given in pixels and NOT in R200. These clusters are A311, A2665, A3164, and Z1261.
17410. WINGS morphology
ID:
ivo://ia2.inaf.it/hosted/wings/cone/morphot
Title:
WINGS morphology
Short Name:
WINGSMorphot
Date:
13 Mar 2019 11:59:29
Publisher:
IA2
Description:
The catalogue contains a total number of ~39 900 galaxies, for which we provide the automated estimates of the morphological type, applying the purposely devised tool MORPHOT to the V-band WINGS imaging. The used tool is non-parametric and fully empirical. In particular, MORPHOT exploits 21 morphological diagnostics, directly and easily computable from the galaxy image, to provide two independent classifications: one based on a maximum likelihood (ML), semi- analytical technique and the other one on a neural network (NN) machine. A suitably selected sample of &#8764;1000 visually classified WINGS galaxies is used to calibrate the diagnostics for theML estimator and as a training set in the NN machine. The final morphological estimator combines the two techniques. (http://adsabs.harvard.edu/abs/2012MNRAS.420..926F)

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