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Large photometric surveys of transient phenomena, such as Pan-STARRS andLSST, will locate thousands to millions of type Ia supernova candidates peryear, a rate prohibitive for acquiring spectroscopy to determine eachcandidate's type and redshift. In response, we have developed an economicalapproach to identifying SNe Ia and their redshifts using an uncommon type ofoptical filter which has multiple, discontinuous passbands on a singlesubstrate. Observation of a supernova through a specially designed pair ofthese `cross-correlation filters' measures the approximate amplitude and phaseof the cross-correlation between the spectrum and a SN Ia template, a quantitytypically used to determine the redshift and type of a high-redshift SN Ia.Simulating the use of these filters, we obtain a sample of SNe Ia which is ~98%pure with individual redshifts measured to 0.01 precision. The advantages ofthis approach over standard broadband photometric methods are that it isinsensitive to reddening, independent of the color data used for subsequentdistance determinations which reduces selection or interpretation bias, andbecause it makes use of the spectral features its reliability is greater. Agreat advantage over long-slit spectroscopy comes from increased throughput,enhanced multiplexing and reduced set-up time resulting in a net gain in speedof up to ~30 times. This approach is also insensitive to host galaxycontamination. Prototype filters were built and successfully used on Magellanwith LDSS-3 to characterize three SNLS candidates. We discuss how these filterscan provide critical information for the upcoming photometric supernovasurveys.

Optical Cross Correlation Filters: An Economical Approach for Identifying SNe Ia and Estimating their Redshifts