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Recent massive sky surveys in different bandwidths are providing newopportunities to modern astronomy. The Virtual Observatory (VO) represents theadequate framework to handle the huge amount of information available andfilter out data according to specific requirements.  In this work, we applied a selection strategy to find new, uncatalogued hotsubdwarfs making use of VO tools. We used large area catalogues (GALEX, SDSS,SuperCosmos, 2MASS) to retrieve photometric and astrometric information ofstellar objects. To these objects, we applied colour and proper motion filters,together with an effective temperature cutoff, aimed at separating hotsubdwarfs from other blue objects such as white dwarfs, cataclysmic variablesor main sequence OB stars. As a result, we obtained 437 new, uncatalogued hotsubdwarf candidates. Based on previous results, we expect our procedure to havean overall efficiency of at least 80 per cent. Visual inspection of the 68candidates with SDSS spectrum showed that 65 can be classified as hotsubdwarfs: 5 sdOs, 25 sdOBs and 35 sdBs. This success rate above 95 per centproves the robustness and efficiency of our methodology.  The spectral energy distribution of 45 per cent of the subdwarf candidatesshowed infrared excesses, a signature of their probable binary nature. Thestellar companions of the binary systems so detected are expected to belate-type main sequence stars. A detailed determination of temperatures andspectral classification of the cool companions will be presented in aforthcoming work.

A search for new hot subdwarf stars by means of Virtual Observatory tools II