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|The Tully-Fisher Relation of Barred Galaxies|
We present new data exploring the scaling relations, such as theTully-Fisher relation (TFR), of bright barred and unbarred galaxies. Aprimary motivation for this study is to establish whether barrednesscorrelates with, and is a consequence of, virial properties of galaxies.Various lines of evidence suggest that dark matter is dominant in disksof bright unbarred galaxies at 2.2 disk scale lengths, the point of peakrotation for a pure exponential disk. We test the hypothesis that theTully-Fisher (TF) plane of barred high surface brightness galaxies isoffset from the mean TFR of unbarred galaxies, as might be expected ifbarred galaxies are ``maximal'' in their inner parts. We use existingand new TF data to search for basic structural differences betweenbarred and unbarred galaxies. Our new data consist of two-dimensionalHα velocity fields derived from SparsePak integral fieldspectroscopy and V- and I-band CCD images collected at the WIYNObservatory2 for 14 strongly barredgalaxies. Differences may exist between kinematic and photometricinclination angles of barred versus unbarred galaxies. These findingslead us to restrict our analysis to barred galaxies withi>50deg. We use WIYN/SparsePak (two-dimensional) velocityfields to show that long-slit (one-dimensional) spectra yield reliablecircular speed measurements at or beyond 2.2 disk scale lengths, farfrom any influence of the bar. This enables us to consider line widthmeasurements from extensive TF surveys that include barred and nonbarreddisks and derive detailed scaling relation comparisons. We find that fora given luminosity, barred and unbarred galaxies have comparablestructural and dynamical parameters, such as peak velocities, scalelengths, and colors. In particular, the location of a galaxy in the TFplane is independent of barredness. In a global dynamical sense, barredand unbarred galaxies behave similarly and are likely to have, onaverage, comparable fractions of luminous and dark matter at a givenradius.
|Nearby Optical Galaxies: Selection of the Sample and Identification of Groups|
In this paper we describe the Nearby Optical Galaxy (NOG) sample, whichis a complete, distance-limited (cz<=6000 km s-1) andmagnitude-limited (B<=14) sample of ~7000 optical galaxies. Thesample covers 2/3 (8.27 sr) of the sky (|b|>20deg) andappears to have a good completeness in redshift (97%). We select thesample on the basis of homogenized corrected total blue magnitudes inorder to minimize systematic effects in galaxy sampling. We identify thegroups in this sample by means of both the hierarchical and thepercolation ``friends-of-friends'' methods. The resulting catalogs ofloose groups appear to be similar and are among the largest catalogs ofgroups currently available. Most of the NOG galaxies (~60%) are found tobe members of galaxy pairs (~580 pairs for a total of ~15% of objects)or groups with at least three members (~500 groups for a total of ~45%of objects). About 40% of galaxies are left ungrouped (field galaxies).We illustrate the main features of the NOG galaxy distribution. Comparedto previous optical and IRAS galaxy samples, the NOG provides a densersampling of the galaxy distribution in the nearby universe. Given itslarge sky coverage, the identification of groups, and its high-densitysampling, the NOG is suited to the analysis of the galaxy density fieldof the nearby universe, especially on small scales.
|Galaxy coordinates. II. Accurate equatorial coordinates for 17298 galaxies|
Using images of the Digitized Sky Survey we measured coodinates for17298 galaxies having poorly defined coordinates. As a control, wemeasured with the same method 1522 galaxies having accurate coordinates.The comparison with our own measurements shows that the accuracy of themethod is about 6 arcsec on each axis (RA and DEC).
|An image database. II. Catalogue between δ=-30deg and δ=70deg.|
A preliminary list of 68.040 galaxies was built from extraction of35.841 digitized images of the Palomar Sky Survey (Paper I). For eachgalaxy, the basic parameters are obtained: coordinates, diameter, axisratio, total magnitude, position angle. On this preliminary list, weapply severe selection rules to get a catalog of 28.000 galaxies, wellidentified and well documented. For each parameter, a comparison is madewith standard measurements. The accuracy of the raw photometricparameters is quite good despite of the simplicity of the method.Without any local correction, the standard error on the total magnitudeis about 0.5 magnitude up to a total magnitude of B_T_=17. Significantsecondary effects are detected concerning the magnitudes: distance toplate center effect and air-mass effect.
|Automated morphological classification of APM galaxies by supervised artificial neural networks|
We train artificial neural networks to classify galaxies based solely onthe morphology of the galaxy images as they appear on blue surveyplates. The images are reduced, and morphological features such as bulgesize and the number of arms are extracted, all in a fully automatedmanner. The galaxy sample was first classified by six independentexperts. We use several definitions for the mean type of each galaxy,based on those classifications. We then train and test the network onthese features. We find that the rms error of the networkclassifications, as compared with the mean types of the expertclassifications, is 1.8 Revised Hubble types. This is comparable to theoverall rms dispersion between the experts. This result is robust andalmost completely independent of the network architecture used.
|A comparative study of morphological classifications of APM galaxies|
We investigate the consistency of visual morphological classificationsof galaxies by comparing classifications for 831 galaxies from sixindependent observers. The galaxies were classified on laser print copyimages or on computer screen using scans made with the Automated PlateMeasuring (APM) machine. Classifications are compared using the RevisedHubble numerical type index T. We find that individual observers agreewith one another with rms combined dispersions of between 1.3 and 2.3type units, typically about 1.8 units. The dispersions tend to decreaseslightly with increasing angular diameter and, in some cases, withincreasing axial ratio (b/a). The agreement between independentobservers is reasonably good but the scatter is non-negligible. In spiteof the scatter, the Revised Hubble T system can be used to train anautomated galaxy classifier, e.g. an artificial neural network, tohandle the large number of galaxy images that are being compiled in theAPM and other surveys.
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