Computer Science – Databases
Scientific paper
Aug 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007jena.confe..81h&link_type=abstract
"JENAM-2007, "Our non-stable Universe", held 20-25 August 2007 in Yerevan, Armenia. Abstract book, p. 81-81"
Computer Science
Databases
Scientific paper
The Digitized First Byurakan Survey (DFBS) is the digitized version of the famous Markarian survey (or the First Byurakan Survey, FBS). Using the BSpec extraction software written by one of the authors (GC), we have obtained the list of the DFBS objects with their positions, B and R magnitudes, and preliminarily classification for the DFBS zones with central DEC=+39deg and DEC=+43deg, for those fields having two or more plates available. Later on, the B and R magnitudes were cross correlated with their corresponding B and R magnitudes from other plates in the same field in order to find out candidate variables. First, the systematic shift between the two plates measurements was eliminated, and then the rms was calculated for objects grouped by their B magnitudes (as the errors change in respect of the brightness due to the emulsion non-linearity). For variability selection, the 3 sigma criterion for B and R magnitudes was used. Probable variability was assigned to those objects having 3 sigma differences in the same direction in both B and R, and possible variability, to those having 2 sigma differences. Later on, cross-correlations were carried out with all available multiwavelength catalogs, and objects grouped into candidate blazars (those associated with radio sources), cataclysmic variables (blue and UV-excess objects in the DFBS), and Mira type variables (late-type stars) were distinguished. There are a number of other objects as well, and their nature must be clarified. All objects were checked in the SIMBAD and NED databases for possible identifications with known variables. This project gave an opportunity to estimate efficiency of the DFBS for variability selection. Further studies will include all DFBS fields and the comparison will be carried out with the available photometric data from MAPS and USNO-B1.0 catalogs.
Cirimele Giuseppe
Gaudenzi Silvia
Hovhannisyan Lilit R.
Massaro Enrico
Mickaelian Areg M.
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