Decision table for classifying point sources based on FIRST and 2MASS databases

With the availability of multi-wavelength, multi-scale and multi-epoch astronomical catalogues, the number of features to describe astronomical objects has increases. The better features we select to classify objects, the higher the classification accuracy is. In this paper, we have used data sets of stars and quasars from near-infrared band and radio band. Then best-first search method was applied to select features. For the data with selected features, the algorithm of decision table was implemented. The classification accuracy is more than 95.9%. As a result, the feature selection method improves the effectiveness and efficiency of the classification method. Moreover the result shows that decision table is robust and effective for discrimination of celestial objects and used for preselecting quasar candidates for large survey projects.     

How well do available data describe the distribution of galaxies in the nearby universe?

To study the distribution of galaxies in the Universe data on their positions magnitudes and redshifts are needed. A review of all large samples of galaxy counts, galaxy catalogues and redshift surveys as well as catalogues and redshifts of clusters is given. It is shown that the sky has been unevenly studied, the strongest asimmetry being between the Northern and Southern hemispheres. Particular attention is paid to the Zwicky near clusters. It is shown that only 14% have a well determined redshift and at least 28% are not single clusters but superposition of two or more groups.From an analysis of the available literature it appears that 1) there is more data about redshifts and positions of galaxies than are normally used. 2) The available data are far from uniform and complete.It is argued that a lot more new observations are needed before one can confidently draw conclusions about the structure of the Universe.     

Luminous star-forming galaxies in the SDSS-GALEX database

We use the combined photometric GALEX + SDSS database to look for populations of luminous blue star-forming galaxies. These were initially identified from such a sample at redshifts near 0.4, using SDSS spectra. We make use of the NUV, g, and i colour index previously defined in our previous paper, to separate stars and QSOs, to locate more of these unusual galaxies, to fainter limits. They are found in significant numbers in two different regions of the related colour-magnitude plot. Within these regions, we use the ensemble 7-colour photometry (FUV, NUV, u, g, r, i, z) to postulate the populations of blue star-forming galaxies at redshifts near 0.4 and 1.0, from a full photometric sample of over half a million.