Object Classification and Photometric Supernova Typing in the SDSS-II SN Survey

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Scientific paper

The SDSS-II SN Survey is presently completing the 2nd of a 3-year campaign primarily focused on discovering and obtaining well-measured light curves of Type-Ia SNe. In addition to SNe the survey detects a great many other objects, both physical (e.g. asteroids, AGN) and non-physical (e.g. diffraction spikes). Identifying Type-Ia SN candidates from among these objects is an important component of the survey, allowing us to obtain rapid spectroscopic follow-up. Initial identification of promising SN candidates relies largely on human inspection of objects, but we have made progress towards an automated routine to distinguish different classes of objects based upon a single detection. With multiple photometric epochs, we have a highly efficient system to distinguish among SN types by fitting the light-curve to a library of SN templates. This poster describes the process of identifying Type-Ia SN candidates rapidly and efficiently from among the thousands of objects detected in every night of observation.

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