Olga Zhelenkova (SAO RAS), Majorova E.K. (SAO RAS), Soboleva N.S. (St.Petersburg Branch of SAO RAS), Temirova A.V. (St.Petersburg Branch of SAO RAS)
Mass identification of a list of radio sources with the sky surveys of different ranges of the electromagnetic spectrum has undoubted interest to astronomers. Identification of the radio sources is not a straightforward procedure because of the different angular resolution, sensitivity limit, coordinate precision of the radio catalogues, as well as due to the morphological structure of radio sources themselves.
We have developed an approach to bulk identification of the RC catalogue obtained with the largest Russian radiotelescope RATAN-600, using web services that provide access, visualization and analysis of data from optical, infrared and radio surveys, which are the resources of a virtual observatory. About 25% of the RC catalogue radio sources were not confirmed in the radio survey NVSS, so to refine the coordinates and flux densities were re-processed of ′Cold′ surveys for 1980-1999 and got a catalogue of radio sources RC Refined (RCR).
By means of an interactive sky atlas Aladin (Perl API for the command interface and macrocontroller) and pysao (Python-interface to SAOImage DS9) implemented workflow on a radio source list for data preparation and result visualization. The RCR radio sources were identified with five sky radio survey VLSS, TXS, NVSS, FIRST, GB6 (74, 365, 1440 and 4850 MHz), two optical surveys DSS2 and SDSS (bands u, g, r, i, z ) and infrared survey LAS UKIDSS (band J, H, K).
Since it is assumed further analysis of multi-frequency data, special attention is paid to the compilation of diverse information into one resource namely a search information system ObjectRadioSky. We developed a database schema that takes into account the addition of new catalogues, the integration of their parameters with UCDs and relations between objects of the catalogues. We implemented a web-based interface to display all available information about the selected radio source.
This work was supported by RFBR grants N09-07-00320 and N10-07-00412.
Paper ID: P168